Artificial intelligence (AI) Books

Book SynopsisThe 9-volume set LNAI 14267-14275 constitutes the proceedings of the 16th International Conference on Intelligent Robotics and Applications, ICIRA 2023, which took place in Hangzhou, China, during July 5–7, 2023.The 413 papers included in these proceedings were carefully reviewed and selected from 630 submissions. They were organized in topical sections as follows:Part I: Human-Centric Technologies for Seamless Human-Robot Collaboration; Multimodal Collaborative Perception and Fusion; Intelligent Robot Perception in Unknown Environments; Vision-Based Human Robot Interaction and Application.Part II: Vision-Based Human Robot Interaction and Application; Reliable AI on Machine Human Reactions; Wearable Sensors and Robots; Wearable Robots for Assistance, Augmentation and Rehabilitation of Human Movements; Perception and Manipulation of Dexterous Hand for Humanoid Robot.Part III: Perception and Manipulation of Dexterous Hand for Humanoid Robot; Medical Imaging for Biomedical Robotics; Advanced Underwater Robot Technologies; Innovative Design and Performance Evaluation of Robot Mechanisms; Evaluation of Wearable Robots for Assistance and Rehabilitation; 3D Printing Soft Robots.Part IV: 3D Printing Soft Robots; Dielectric Elastomer Actuators for Soft Robotics; Human-like Locomotion and Manipulation; Pattern Recognition and Machine Learning for Smart Robots.Part V: Pattern Recognition and Machine Learning for Smart Robots; Robotic Tactile Sensation, Perception, and Applications; Advanced Sensing and Control Technology for Human-Robot Interaction; Knowledge-Based Robot Decision-Making and Manipulation; Design and Control of Legged Robots.Part VI: Design and Control of Legged Robots; Robots in Tunnelling and Underground Space; Robotic Machining of Complex Components; Clinically Oriented Design in Robotic Surgery and Rehabilitation; Visual and Visual-Tactile Perception for Robotics.Part VII: Visual and Visual-Tactile Perception for Robotics; Perception, Interaction, and Control of Wearable Robots; Marine Robotics and Applications; Multi-Robot Systems for Real World Applications; Physical and Neurological Human-Robot Interaction.Part VIII: Physical and Neurological Human-Robot Interaction; Advanced Motion Control Technologies for Mobile Robots; Intelligent Inspection Robotics; Robotics in Sustainable Manufacturing for Carbon Neutrality; Innovative Design and Performance Evaluation of Robot Mechanisms.Part IX: Innovative Design and Performance Evaluation of Robot Mechanisms; Cutting-Edge Research in Robotics.Table of Contents​Perception and Manipulation of Dexterous Hand for Humanoid Robot.- Dexterous Hand-Object Interaction Control Based on Adaptive Impedance Algorithm.- Design and Control of a Two-Segment Rotatable wire-driven Flexible Arm.- Design and Research of a New Underactuated Manipulator.- Medical Imaging for Biomedical Robotics.- Accelerated Unfolding Network for Medical Image Reconstruction with Efficient Information Flow.- Examining the Impact of Muscle-Electrode Distance in sEMG Based Hand Motion Recognition.- Fast calibration for ultrasound imaging guidance based on depth camera.- Zero-Shot Kidney Stone Segmentation Based on Segmentation Anything Model for Robotic-Assisted Endoscope Navigation.- Sutures and Landmarks Joint Detection Method Based on Convolutional Neural Network for Rat Stereotactic Surgery.- Prior Region Mask R-CNN for thyroid nodule segmentation in ultrasound images.- Digital Twin Model Based Robot-Assisted Needle Insertion Navigation System with Visual and Force Feedback.- A Modified BiSeNet for Spinal Segmentation.- Retinal Vascular Segmentation Based on Depth-Separable Convolution and Attention Mechanisms.- SW-YOLO: Improved YOLOv5s algorithm for Blood Cell Detection.- A Novel Full Prediction Model of 3D Needle Insertion Procedures Combining the Kriging and Local Constrained Method.- Autofocusing for Cleavage-Stage Embryos in Brightfield Microscopy: Towards Automated Preimplantation Genetic Testing.- Advanced Underwater Robot Technologies.- Cooperative pursuit-evasion game for multi-AUVs in the ocean current and obstacle environment.- Rock-climbing fish inspired skeleton-embedded rigid-flexible coupling suction disc design for adhesion enhancement.- An Underwater Inductively Coupled Power Transfer System with a Ring-shaped Coupler for ROV Charging.- Micro-needle Dynamic Anchoring Foot Design for Underwater Drilling Robot.- Adaptive Control for Compact Vector-Propelled ROVs in Underwater Detection: Enhancing Stability and Maneuverability.- Dual-Arm Dynamic Planning with Considering Arm Reachability Constraint in Task Space.- SLAM Algorithm of Underwater Vehicle Based on Multi-beam Sonar.- Design and Development of ROV for Ship Hull Inspection.- Research on Structure Design and Drive Control of Soft Joint on Underwater Snake-like Robot.- Reconfigurable Torso-Based Quadruped Robot for Post-Tilt Recovery.- Innovative Design and Performance Evaluation of Robot Mechanisms - Ⅰ.- Kinematics Analysis of a New Parallel Mechanism with Complete Separation of Constraints and Drives.- Design of Flexure Hinges Using Topology Optimization Based on Isogeometric Analysis.- Design and Workspace Evaluation of a Novel Parallel Grasping Manipulator with Configurable Platform.- Research on Forward Kinematics Solutions of 3RPUPc-UPS Parallel Mechanism Based on Particle-Artificial Bee Colony Algorithm.- Stiffness calculation method and deformation energy of lattice filled structure.- Analytical Backlash Model for 3K-Type Planetary Gear Train with Flexure-Based Anti-Backlash Carrier.- Design and Analysis of a Novel Membrane Deployable Solar Array Based on STACER Deployable Mechanism for CubeSats.- Graded Error Compensation Method for Heavy-Load Manipulators Based on Laser Tracking Measurement.- A Flexible Parallel Robotic Wrist Towards Transluminal Endoscopic Surgery.- Parameterizing Dexterous Workspace of Industrial Robots.- Design and Kinematic Analysis of a Mobile Parallel Mechanism with Over Constrained Branch Chains.- Design and Analysis of Space Extra Long deployable Telescopic Boom Based on Cable Drive.- Extenics Networking Method of Generalized Deployable Units.- Research on Foot Slippage Suppression of Mammal Type Legged Robot based on Optimal Force Allocation.- Evaluation of Wearable Robots for Assistance and Rehabilitation.- Improved Notch Filter Method for Vibration Suppression of Flexible Joint Robots with Harmonic Reducers.- Design of a Locust-Like Robot Based on Metamorphic Mechanism.- A Reconfigurable Cable-Driven Hybrid Robot Synchronous Calibration Method Considering Multiple Mapping Relationships.- Wearable Robots Improve Upper Limb Function in Stroke Patients.- Design and Evaluation of a Pelvic-Assisted Gait Training Method for Mobility Improvement in Stroke Patients.- Effect of Lower Limb Exoskeleton Robot on Walking Function of Stroke Patients.- Design and Control of a Novel Underactuated Soft Exosuit.- Morphology Design of Soft Strain Sensors with Superior Stability for Wearable Rehabilitation Robots.- The Feasibility, Safety and Efficacy of Robot-Assisted Gait Training Based on a Wearable Ankle Robot in Stroke Rehabilitation.- 3D Printing Soft Robots.- Design and Control of a Miniature Soft Robotic Fish Actuated by Artificial Muscles.- A Single-DOF Quadrilateral Pyramid Deployable Unit and Its Networking Mechanism.- A Rigid-Soft Pneumatic Wrist with Fixed Rotation Axes and Active Jamming Variable Stiffness Mechanisms.

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Book SynopsisThe 9-volume set LNAI 14267-14275 constitutes the proceedings of the 16th International Conference on Intelligent Robotics and Applications, ICIRA 2023, which took place in Hangzhou, China, during July 5–7, 2023.The 413 papers included in these proceedings were carefully reviewed and selected from 630 submissions. They were organized in topical sections as follows:Part I: Human-Centric Technologies for Seamless Human-Robot Collaboration; Multimodal Collaborative Perception and Fusion; Intelligent Robot Perception in Unknown Environments; Vision-Based Human Robot Interaction and Application.Part II: Vision-Based Human Robot Interaction and Application; Reliable AI on Machine Human Reactions; Wearable Sensors and Robots; Wearable Robots for Assistance, Augmentation and Rehabilitation of Human Movements; Perception and Manipulation of Dexterous Hand for Humanoid Robot.Part III: Perception and Manipulation of Dexterous Hand for Humanoid Robot; Medical Imaging for Biomedical Robotics; Advanced Underwater Robot Technologies; Innovative Design and Performance Evaluation of Robot Mechanisms; Evaluation of Wearable Robots for Assistance and Rehabilitation; 3D Printing Soft Robots.Part IV: 3D Printing Soft Robots; Dielectric Elastomer Actuators for Soft Robotics; Human-like Locomotion and Manipulation; Pattern Recognition and Machine Learning for Smart Robots.Part V: Pattern Recognition and Machine Learning for Smart Robots; Robotic Tactile Sensation, Perception, and Applications; Advanced Sensing and Control Technology for Human-Robot Interaction; Knowledge-Based Robot Decision-Making and Manipulation; Design and Control of Legged Robots.Part VI: Design and Control of Legged Robots; Robots in Tunnelling and Underground Space; Robotic Machining of Complex Components; Clinically Oriented Design in Robotic Surgery and Rehabilitation; Visual and Visual-Tactile Perception for Robotics.Part VII: Visual and Visual-Tactile Perception for Robotics; Perception, Interaction, and Control of Wearable Robots; Marine Robotics and Applications; Multi-Robot Systems for Real World Applications; Physical and Neurological Human-Robot Interaction.Part VIII: Physical and Neurological Human-Robot Interaction; Advanced Motion Control Technologies for Mobile Robots; Intelligent Inspection Robotics; Robotics in Sustainable Manufacturing for Carbon Neutrality; Innovative Design and Performance Evaluation of Robot Mechanisms.Part IX: Innovative Design and Performance Evaluation of Robot Mechanisms; Cutting-Edge Research in Robotics.Table of Contents​3D Printing Soft Robots.- Adaptive Fault Tolerant Crotroller for Nonlinear Active Suspension.- Ultraviolet Curable Materials for 3d Printing Soft Robots: From Hydrogels to Elastomers and Shape Memory Polymers.- Design and Grasping Experiments of a Three-Branch Dexterous Soft Gripper.- Modelling Analysis of a Soft Robotic Arm Based on Pneumatic-Network Structure.- Integrated DLP and DIW 3D Printer for Flexible Electronics.- Bi-Directional Deformation, Stiffness-Tunable, and Electrically Controlled Soft Actuators Based on LCEs 4D Printing.- Multi-Material Integrated Printing of Reprogrammable Magnetically Actuated Soft Structures.- A Lightweight Jumping Robot with Untethered Actuation.- Dielectric Elastomer Actuators for Soft RoboticsLanding Trajectory and Control Optimization for Helicopter in Tail Rotor Pitch Lockup.- A Dual-Mode Micro Flapping Wing Robot with Water Gliding and Taking-Off Motion.- A Self-Loading Suction Cup Driven by Resonant-Impact Dielectric Elastomer Artificial Muscles.- Model-Free Adaptive Control of Dielectric Elastomer Actuator.- Modeling and Design Optimization of a Pre-Stretched Rolled Dielectric Elastomer Actuator.- Structural Dynamics Modeling with Modal Parameters and Excitation Decoupling Method Based on Energy Distribution.- Force Sensor-Based Linear Actuator Stiffness Rendering Control.- Design, Modeling and Control of a Dielectric Elastomer Actuated Micro-Positioning Stage.- Tension Distribution Algorithm of Flexible Cable Redundant Traction for Stable Motion of Air-Bearing Platform.- Research on High-Frequency Motion Control of Voice Coil Motors Based on Fuzzy PID.- Feedback Linearization with Improved ESO For Quadrotor Attitude Control.- Design and Analysis of a Flexible Joint Actuator Based on Peano-Hasel with Performance Enhancement Characteristics.- Human-like Locomotion and Manipulation.- Walking Stability Analysis of Biped Robot Based on Actuator Response Characteristics.- Design of an Actuator for Biped Robots Based on the Axial Flux Motor.- Omnidirectional Walking Realization of A Biped Robot.- Control of the Wheeled Bipedal Robot on Roads with Large and Unknown Inclination.- Nonsmooth Dynamic Modeling of a Humanoid Robot with Parallel Mechanisms.- Human-Like Dexterous Manipulation for Anthropomorphic Hand-Arm Robotic System via Teleoperation.- Design of a Compact Anthropomorphic Robotic Hand with Hybrid Linkage and Direct Actuation.- Application of Compliant Control in Position-Based Humanoid Robot.- Fast Walking of Position-Controlled Biped Robot Based on Whole-Body Compliance Control.- Whole Body Balance Control for Bipedal Robots Based on Virtual Model Control.- Design and Implementation of Lightweight Thigh Structures for Biped Robots Based on Spatial Lattice Structure and Additive Manufacturing Technology.- Design of a Humanoid Robot Foot with a Lattice Structure for Absorbing Ground Impact Forces.- An Action Evaluation and Scaling Algorithm for Robot Motion Planning.- Design and Control of the Biped Robot HTY.- SPSOC: Staged Pseudo-Spectral Optimal Control Optimization Model For Robotic Chinese Calligraphy.- Obstacle Avoidance Path Planning Method Based on DQN-HER.- Realizing Human-like Walking and Running with Feedforward Enhanced Reinforcement Learning.- Research on Target Trajectory Planning Method of Humanoid Manipulators Based on Reinforcement Learning.- Study on the Impact Performance of the Joint Cycloid Reducer for Legged Robots.- An Optimal Configuration Solution of 8-DOF Redundant Manipulator for Flying Ball.- Smooth Composite-space RRT: An Improved Motion Planner for Manipulators under Incomplete Orientation Constraint.- Cooperative Control of Dual-Arm Robot of Adaptive Impedance Controller Based on RBF Neural Network.- Trajectory Tracking Control for Robot Manipulator under Dynamic Environment.- Pattern Recognition and Machine Learning for Smart Robots.- A High-Temperature Resistant Robot for Fixed-Point Firefighting.- Multiscale Dual-Channel Attention Network for Point Cloud Analysis.- Study on Quantitative Precipitation Estimation and Model’s Transfer Performance by Incorporating Dual Polarization Radar Variables.- Research on Object Detection Methods in Low-light Conditions.- Image Recovery and Object Detection Integrated Algorithms for Robots in Harsh Battlefield Environments.- A Fuzzy-Based Improved Dynamic Window Approach for Path Planning of Mobile Robot.- Is the Encoder Necessary in DETR-Type Models? - Analysis of Encoder Redundancy.- Image Enhancement Algorithm Based on Multi-Scale Convolution Neural Network.

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Book SynopsisThe 9-volume set LNAI 14267-14275 constitutes the proceedings of the 16th International Conference on Intelligent Robotics and Applications, ICIRA 2023, which took place in Hangzhou, China, during July 5–7, 2023.The 413 papers included in these proceedings were carefully reviewed and selected from 630 submissions. They were organized in topical sections as follows:Part I: Human-Centric Technologies for Seamless Human-Robot Collaboration; Multimodal Collaborative Perception and Fusion; Intelligent Robot Perception in Unknown Environments; Vision-Based Human Robot Interaction and Application.Part II: Vision-Based Human Robot Interaction and Application; Reliable AI on Machine Human Reactions; Wearable Sensors and Robots; Wearable Robots for Assistance, Augmentation and Rehabilitation of Human Movements; Perception and Manipulation of Dexterous Hand for Humanoid Robot.Part III: Perception and Manipulation of Dexterous Hand for Humanoid Robot; Medical Imaging for Biomedical Robotics; Advanced Underwater Robot Technologies; Innovative Design and Performance Evaluation of Robot Mechanisms; Evaluation of Wearable Robots for Assistance and Rehabilitation; 3D Printing Soft Robots.Part IV: 3D Printing Soft Robots; Dielectric Elastomer Actuators for Soft Robotics; Human-like Locomotion and Manipulation; Pattern Recognition and Machine Learning for Smart Robots.Part V: Pattern Recognition and Machine Learning for Smart Robots; Robotic Tactile Sensation, Perception, and Applications; Advanced Sensing and Control Technology for Human-Robot Interaction; Knowledge-Based Robot Decision-Making and Manipulation; Design and Control of Legged Robots.Part VI: Design and Control of Legged Robots; Robots in Tunnelling and Underground Space; Robotic Machining of Complex Components; Clinically Oriented Design in Robotic Surgery and Rehabilitation; Visual and Visual-Tactile Perception for Robotics.Part VII: Visual and Visual-Tactile Perception for Robotics; Perception, Interaction, and Control of Wearable Robots; Marine Robotics and Applications; Multi-Robot Systems for Real World Applications; Physical and Neurological Human-Robot Interaction.Part VIII: Physical and Neurological Human-Robot Interaction; Advanced Motion Control Technologies for Mobile Robots; Intelligent Inspection Robotics; Robotics in Sustainable Manufacturing for Carbon Neutrality; Innovative Design and Performance Evaluation of Robot Mechanisms.Part IX: Innovative Design and Performance Evaluation of Robot Mechanisms; Cutting-Edge Research in Robotics.Table of Contents​Pattern Recognition and Machine Learning for Smart Robots.- Real-Time Detection and Tracking of Express Parcels Based on Improved YOLOv5+DeepSORT.- Micro Speaker Quality Inspection Based on Time-Frequency Domain Feature Learning .- Micro Speaker Quality Inspection Based on Time-Frequency Domain Feature Learning .- Robotic Tactile Sensation, Perception, and Applications.- FBG Tactile Sensor Integrated on Bronchoscope for Force and Contact Position Sensing.- Soft Humanoid Finger with Magnetic Tactile Perception.- Learning Tactilemotor Policy For Robotic Cable Following via Sim-to-Real Transfer.- Electric Fish-Inspired Proximity and Pressure Sensing Electronic Skin.- A Novel Tactile Palm for Robotic Object Manipulation.- Tactile-Based Slip Detection Towards Robot Grasping.- A Faster and More Robust Momentum Observer for Robot Collision Detection Based on Loop Shaping Techniques.- Dynamic and static performance analysis of a linear solenoid elastic actuator with a large load capacity.- Fully tactile dexterous hand grasping strategy combining visual and tactile senses.- Intelligent Tactile System and Human-Robot Interaction for Collaborative Robots.- Tacformer : A Self-attention Spiking Neural Network for Tactile Object Recognition.- MC-Tac: Modular Camera-based Tactile Sensor for Robot Gripper.- Advanced Sensing and Control Technology for Human-robot Interaction.- Integrated Direct/Indirect Adaptive Robust Control for Electrical Driven Injection Machine Mold Closing with Accurate Parameter Estimations.- Admittance Control of Flexible Joint with Dual-Disturbance Observer.- Physical Reality Constrained Dynamics Identification of Robots Based on CAD Model.- Constant Force Tracking Using Dynamical System with External Force Estimation.- Demonstration Shaped Reward Machine for Robot Assembly Reinforcement Learning Tasks.- The Construction of Intelligent Grasping System Based on EEG.- Comparing of Electromyography and Ultrasound for Estimation of Joint Angle and Torque.- An Efficient Robot Payload Identification Method Based on Decomposed Motion Experimental Approach.- A Force Exertion Method for Redundant Mobile Manipulators Safely Operating in Small Spaces.- Prediction of Elbow Torque Using Improved African Vultures Optimization Algorithm in Neuromusculoskeletal Model.- Usability Evaluation of FURS Robot Control Panel Interface Design Based on SUS.- Knowledge-based Robot Decision-making and Manipulation.- Obstacle-Avoidance State Characterization Models Based on Hybrid Geometric Descriptions for Mobile Manipulators.- Performance Optimization of Robotic Polishing System With a 3-DOF End-Effector Using Trajectory Planning Method.- KGGPT: Empowering Robots with OpenAI's ChatGPT and Knowledge Graph.- Robot Trajectory Optimization with Reinforcement Learning Based on Local Dynamic Fitting.- ChatGPT for Robotics: A New Approach to Human-Robot Interaction and Task Planning.- Precision Control and Simulation Verification of Hydraulic Manipulator under Unknown Load.- Experience Adapter: Adapting Pre-Trained Language Models for Continual Task Planning.- Nonlinear Disturbance Observer-Based Continuous Fixed-Time Tracking Control for Uncertain Robotic Systems.- Optimized Adaptive Impedance Control Based on Robotic Seven-Axis Linkage Grinding Platform.- Decision-Making in Robotic Grasping with Large Language Models.- Language Guided Grasping of Unknown Concepts Based on Knowledge System .- A Review of Nonlinear Systems Based on Optimal Control Theory.- Design and Control of Legged Robots.- A Locust-Inspired Energy Storage Joint for Variable Jumping Trajectory Control.- Design and Control of a Novel Six-Legged Robot for Flat, Downhill, and Uphill Skiing .- Structure Design and Fall Trajectory Planning of an Electrically Driven Humanoid Robot.- HexGuide: A Hexapod Robot for Autonomous Blind Guidance in Challenging Environments.- Force-Estimation Based Interaction of Legged Robots through Whole-Body Dynamics.- Lightweight Design and Property Analysis of Humanoid Robot Thigh Integrated Structure With Appearance.- Joint Torque and Ground Reaction Force Estimation for a One-Legged Hopping Robot.- Predefined-Time External Force Estimation for Legged Robots.- Movement Analysis of a Landing Buffer Mobile Mechanism with Eccentric Load.- A Lightweight Manipulator Design for Quadruped Robots and Stable Locomotion Control with the Manipulator.- Recovery from Injury: Learning Bipedal Jumping Skills with a Motor Output Torque Limit Curriculum.- Recovery Planning for the Legged Mobile Lunar Lander.

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Book SynopsisThe 9-volume set LNAI 14267-14275 constitutes the proceedings of the 16th International Conference on Intelligent Robotics and Applications, ICIRA 2023, which took place in Hangzhou, China, during July 5–7, 2023.The 413 papers included in these proceedings were carefully reviewed and selected from 630 submissions. They were organized in topical sections as follows:Part I: Human-Centric Technologies for Seamless Human-Robot Collaboration; Multimodal Collaborative Perception and Fusion; Intelligent Robot Perception in Unknown Environments; Vision-Based Human Robot Interaction and Application.Part II: Vision-Based Human Robot Interaction and Application; Reliable AI on Machine Human Reactions; Wearable Sensors and Robots; Wearable Robots for Assistance, Augmentation and Rehabilitation of Human Movements; Perception and Manipulation of Dexterous Hand for Humanoid Robot.Part III: Perception and Manipulation of Dexterous Hand for Humanoid Robot; Medical Imaging for Biomedical Robotics; Advanced Underwater Robot Technologies; Innovative Design and Performance Evaluation of Robot Mechanisms; Evaluation of Wearable Robots for Assistance and Rehabilitation; 3D Printing Soft Robots.Part IV: 3D Printing Soft Robots; Dielectric Elastomer Actuators for Soft Robotics; Human-like Locomotion and Manipulation; Pattern Recognition and Machine Learning for Smart Robots.Part V: Pattern Recognition and Machine Learning for Smart Robots; Robotic Tactile Sensation, Perception, and Applications; Advanced Sensing and Control Technology for Human-Robot Interaction; Knowledge-Based Robot Decision-Making and Manipulation; Design and Control of Legged Robots.Part VI: Design and Control of Legged Robots; Robots in Tunnelling and Underground Space; Robotic Machining of Complex Components; Clinically Oriented Design in Robotic Surgery and Rehabilitation; Visual and Visual-Tactile Perception for Robotics.Part VII: Visual and Visual-Tactile Perception for Robotics; Perception, Interaction, and Control of Wearable Robots; Marine Robotics and Applications; Multi-Robot Systems for Real World Applications; Physical and Neurological Human-Robot Interaction.Part VIII: Physical and Neurological Human-Robot Interaction; Advanced Motion Control Technologies for Mobile Robots; Intelligent Inspection Robotics; Robotics in Sustainable Manufacturing for Carbon Neutrality; Innovative Design and Performance Evaluation of Robot Mechanisms.Part IX: Innovative Design and Performance Evaluation of Robot Mechanisms; Cutting-Edge Research in Robotics.Table of Contents​Visual and Visual-tactile Perception for Robotics.- 6D Pose Estimation Method of Metal Parts for Robotic Grasping Based on Semantic-level Line Matching.- GelSplitter: Tactile Reconstruction from Near Infrared and Visible Images.- GelFlow: Self-Supervised Learning of Optical Flow for Vision-Based Tactile Sensor Displacement Measurement.- CLOE: Novelty Detection via Contrastive Learning with Outlier Exposure.- Detection and Positioning of Workpiece Grinding Area in Dark Scenes with Large Exposure.- Hardware-Free Event Cameras Temporal Synchronization Based on Event Density Alignment.-- A Structure-Responsive CNN-Based Approach for Loop Closure Detection in Appearance-Changing Environments.- Visual Sensor Layout Optimization of a Robotic Mobile Adhesive Removal System for Wind Turbine Blade Based on Simulation.- Perception, Interaction, and Control of Wearable Robots.- Kinematic and Static Analysis of Flexible Link Tensegrity Robots.- An Autoencoder-Based Feature Extraction Method Applied to the Detection of Lateral Walking Gait Phase.- Sparse Adaptive Channel Estimation Based on Multi-Kernel Correntropy.- Towards Intercontinental Teleoperation: A Cloud-Based Framework for Ultra-Remote Human-Robot Dual-Arm Motion Mapping.- A Lightweight Ankle Exoskeleton Driven by Series Elastic Actuator.- Simulation Analysis of Synchronous Walking Control for Centaur System.- Kinematics Analysis of the Wearable Waist Rehabilitation Robot.- 3D Human Pose Estimation in Video for Human-Computer/Robot Interaction.- A Real-time AGV Gesture Control Method Based on Body Part Detetcion.- Predict Hip Joint Moment Using CNN for Control.- Marine Robotics and Applications.- Study on design and performance of a bionic fish driven by four IPMC fins.- Optimization of Energy Storage for A Miniature Water Jumping Robot.- Design and Research of Flatworm-inspired Marine Exploration Robot.- Coordinated Passive Maneuvering Target Tracking by Multiple Underwater Vehicles Based on Asynchronous Sequential Filtering.- Robust Tube-Based Model Predictive Control for Marine Ship-mounted Cranes.- Multi-UUV/USV Adaptive Cooperative Search Using Online State Information.- Design and Analysis of Co-Axial Twin-Propeller Trans-Media Vehicle.- Design of an Autonomous Underwater Vehicle for Targeted Water Sampling.- A Novel Motion Planning Algorithm Based on RRT-Connect and Bidirectional Approach for Free-Floating Space Robot.- A Hybrid Workspace Mapping Method Based on Force Feedback for Underwater Teleoperation Systems.- A Lyapunov-based Model Predictive Virtual Vehicle Guidance for Path Following Control of Autonomous Marine Vehicles.- Overview of Technologies in Marine Robotics.- Multi-robot Systems for Real World Applications.- An MFG Online Path Planning Algorithm Based on Upper and Lower Structure.- Intelligent Scalable and Fault-tolerant Coordination Approach for Collective Construction Robots .- Performance Analysis and Configuration Optimization of a Hexapod Platform with Flexure Hinges.- Dynamic Modeling and Control of Winch-Integrated Cable-Driven Parallel Robots Using Singular Perturbation Method.- Multi-input Multi-output Sliding Mode Control with High Precision and Robustness for a 6-PSU Parallel Robot.- Efficient Trajectory Planning for Coordinated Arrival of Fixed-Wing UAV Swarm.- Spontaneous Emergence of Multitasking in Minimal Robotic Systems.- Cooperative Control of Dual-Manipulator System with Unknown Dynamic Parameters.- Disturbance Rejection Fixed Point Control of DELTA Parallel Manipulator Mounted on Autonomous Underwater Vehicle.- Efficient Autonomous Exploration of Unknown Environment using Regions Segmentation and VRP.- Modeling of the electromagnetic launching process for a tethered-net capturing system.- Neural Network-Based Formation Control of Autonomous Underwater Vehicles Under Disturbance in 3D Space.- Event-Triggered Model Predictive Mean-Field Control for Stabilizing Robotic Swarm.- Risk-Aware Motion Planning for Very-Large-Scale Robotics Systems Using Conditional Value-at-Risk.- Physical and Neurological Human-Robot Interaction.- An Adaptive Impedance Control Method for Human-Robot Interaction.- Design of a lower limb rehabilitation training robot based on a double four-bar synchronous motion mechanism.- Upper Limb Motion Rehabilitation Training Robot Based on A Spatial RRSS Rigid-Body Guidance Mechanism.- Mask R-CNN with attention mechanism for detection and segmentation.- Design and Variable Parameter Control Strategy of Weight Support Gait Training Robot.- CMM-based Cooperative Control Strategy of Supernumerary Robotic Limbs for Human Motion.

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Book SynopsisThe 9-volume set LNAI 14267-14275 constitutes the proceedings of the 16th International Conference on Intelligent Robotics and Applications, ICIRA 2023, which took place in Hangzhou, China, during July 5–7, 2023.The 413 papers included in these proceedings were carefully reviewed and selected from 630 submissions. They were organized in topical sections as follows:Part I: Human-Centric Technologies for Seamless Human-Robot Collaboration; Multimodal Collaborative Perception and Fusion; Intelligent Robot Perception in Unknown Environments; Vision-Based Human Robot Interaction and Application.Part II: Vision-Based Human Robot Interaction and Application; Reliable AI on Machine Human Reactions; Wearable Sensors and Robots; Wearable Robots for Assistance, Augmentation and Rehabilitation of Human Movements; Perception and Manipulation of Dexterous Hand for Humanoid Robot.Part III: Perception and Manipulation of Dexterous Hand for Humanoid Robot; Medical Imaging for Biomedical Robotics; Advanced Underwater Robot Technologies; Innovative Design and Performance Evaluation of Robot Mechanisms; Evaluation of Wearable Robots for Assistance and Rehabilitation; 3D Printing Soft Robots.Part IV: 3D Printing Soft Robots; Dielectric Elastomer Actuators for Soft Robotics; Human-like Locomotion and Manipulation; Pattern Recognition and Machine Learning for Smart Robots.Part V: Pattern Recognition and Machine Learning for Smart Robots; Robotic Tactile Sensation, Perception, and Applications; Advanced Sensing and Control Technology for Human-Robot Interaction; Knowledge-Based Robot Decision-Making and Manipulation; Design and Control of Legged Robots.Part VI: Design and Control of Legged Robots; Robots in Tunnelling and Underground Space; Robotic Machining of Complex Components; Clinically Oriented Design in Robotic Surgery and Rehabilitation; Visual and Visual-Tactile Perception for Robotics.Part VII: Visual and Visual-Tactile Perception for Robotics; Perception, Interaction, and Control of Wearable Robots; Marine Robotics and Applications; Multi-Robot Systems for Real World Applications; Physical and Neurological Human-Robot Interaction.Part VIII: Physical and Neurological Human-Robot Interaction; Advanced Motion Control Technologies for Mobile Robots; Intelligent Inspection Robotics; Robotics in Sustainable Manufacturing for Carbon Neutrality; Innovative Design and Performance Evaluation of Robot Mechanisms.Part IX: Innovative Design and Performance Evaluation of Robot Mechanisms; Cutting-Edge Research in Robotics.Table of Contents​Innovative Design and Performance Evaluation of Robot Mechanisms - Ⅱ.- Design and Analysis of a Novel Ring Truss Deployable Antenna Mechanism.- Model-based Performance Enhancement for Compound Twisted and Coiled Actuators.- Lightweight design method of stacker column structure based on multi-parameter sensitivity analysis.- Optimum Design of 3-UPS/S Parallel Humanoid Wrist Joint.- Kinematic Analysis of Overrunning on a Swing Arm Tracked Mobile Chassis.- Design and Implementation of a Modular Self-reconfigurable Spherical Robot Connected by Magnetic Force.- Graph Synthesis of Generalized Parallel Mechanisms with Coupling Sub-Chains.- Analysis of Mechanism Elastodynamic Performance in Automatic Excavating Process of Excavating Robot.- Measurement and Analysis of End Jitter of Six-axis Industrial Robots.- Description of configuration transformation matrix of reconfigurable mechanism and automatic retrieval and recognition of motion mode.- Design of a voice coil motor-driven multi-DOF parallel micropositioning stage.- Structural Design of a Multi mode Variable Coupling Multi axis Parallel Mobile Robot.- Design and Kinematic Analysis of DNA Nanomachines.- Design and analysis of a new type of solar panel.- Cutting-edge Research in Robotics.- Real-Time Monitoring System of Spray-Painting Robot Based on Five-Dimension Digital Twin Model.- A Methodology for Optimization Design of Parallel Manipulators with Similar Stiffness Performance Design.- Collaborative Robot-Oriented Joint Real-time Control Based on Heterogeneous Embedded Platform.- A Novel Sensitivity Analysis Method for Geometric Errors of a Parallel Spindle Head.- A Novel Prognostic Method for Wear of Sliding Bearing based on SFENN.- Accurate Interpolation Algorithm Based on Fir Filters with Local Dynamic Adjustment.- Investigation of Soft Acoustic Waveguide Dispersion for Wearable Strain Sensing in Human Motion Monitoring.- Design and Optimization of Compliant Rotational Hinge Based on Curved Beam.- A Visual-Inertial Fusion Mapping and Localization System Using AprilTag in GNSS-Denied Scenes .- An Orientation Measurement Method for Industry Robot Based on Laser Tracker.- Programming the Motion of Nanofiber Mat Actuator Through an Area Selective Epoxy Coating Method.- Design of a Multi-Robot Digital Twin System with Bidirectional Motion Synchronization Capabilities.

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Book SynopsisThis book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.Table of ContentsChapter 1: Diagnosis of Parkinson disease using Ensemble methods for Class Imbalance Problem.- Chapter 2: A Comparative Analysis of Pneumonia Detection Using Chest X-Rays With DNN.- Chapter 3: Machine Learning Based Binary Sentiment Classification of Movie Reviews in Hindi (Devanagari Script).- Chapter 4: Deep Learning-Based Recommendation Systems: Review and Critical Analysis.- Chapter 5: Retention in Second Year Computing Students in a London-Based University During The Post-Covid-19 Era Using Learned Optimism as a Lens: A Statistical Analysis in R.- Chapter 6: Alzheimer’s Disease Knowledge Graph Based on Ontology and Neo4j Graph Database.- Chapter 7: Forecasting Bitcoin Prices in the Context of the COVID19 Pandemic Using Machine Learning Approaches.- Chapter 8: Online Food Delivery Customer Churn Prediction: A Quantitative Analysis on the Performance of Machine Learning Classifiers.- Chapter 9: Prevention Equipment for COVID-19 Spread Using IoT and Multimedia-Based Solutions.- Chapter 10: Renal Disease Classification using Image Processing. etc.

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Book SynopsisThis book constitutes the refereed proceedings of the 12th International Conference on Health Information Science, HIS 2023, held in Melbourne, VIC, Australia, during October 23–24, 2023.The 20 full papers and 9 short papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Depression & Mental Health, Data Security, Privacy & Healthcare Systems, Neurological & Cognitive Disease Studies, COVID-19 Impact Studies, Advanced Medical Data & AI Techniques, Predictive Analysis & Disease Recognition, Medical Imaging & Dataset Exploration, Elderly Care and Knowledge Systems.Table of ContentsDepression & Mental Health.- Detection of depression and its likelihood in children and adolescents: Evidence from a 15-years study.- A combined attribute extraction method for detecting Postpartum Depression using Social Media.- Network Analysis of Relationships and Change Patterns in Depression and Multiple Chronic Diseases based on the China Health and Retirement Longitudinal Study.- Exploring Etiology of Nonsuicidal Self-Injury by Using Knowledge Graph Approach.- A Question and Answering System for Mental Health of the ElderlyBased on BiLSTM-CRF Model and Knowledge Graph.- Data Security, Privacy & Healthcare Systems.- Australia's Notifiable Data Breach scheme: An analysis of risk management findings for healthcare.- Analysis and Protection of Public Medical Dataset: from Privacy Perspective.- Enhancing Health Information Systems Security: An Ontology Model Approach.- Developing a Risk Management Framework for E-health Care Delivery.- Neurological & Cognitive Disease Studies.- Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification.- A Robust Approach for Parkinson Disease Detection from Voice Signal.- Analysis on Association between Vascular Risk Factors and Lifestyle Factors with the risk of Dementia/Alzheimer's Disease using Medical Ontologies.- COVID-19 Impact Studies.- Unveiling the Pandemic's Impact: A Dataset for Probing COVID-19's Effects on E-Learning Activities and Academic Performance.- Understanding the influence of multiple factors on the spread of Omicron variant strains via the Multivariate Regression Method.- Analyzing the Impact of COVID-19 on Education: A Comparative Study Based on TOEFL Test Results.- Advanced Medical Data & AI Techniques.- BiblioEngine: An AI-empowered Platform for Disease Genetic Knowledge Mining.- Enhancing Clustering Performance in Sepsis Time Series Data Using Gravity Field.- Multi-modal Medical Data Exploration Based on Data Lake.- Multi-model Transfer Learning and Genotypic Analysis for Seizure Type Classification.- Requirement survey in Thai clinician for designing digital solution of pain assessment.- Predictive Analysis & Disease Recognition.- A Comprehensive Approach for Enhancing Motor Imagery EEG Classification in BCI's.- Image Recognition of Chicken Diseases Based on Improved Residual Networks.- An Adaptive Feature Fusion Network for Alzheimer's Disease Prediction.- A Review on Predicting Drug Target Interactions Based on Machine Learning.- KNN-Based Patient Network and Ensemble Machine Learning for Disease Prediction.- Medical Imaging & Dataset Exploration.- Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics.- Multi-dimensional Complex Query Optimization for Disease-specific Data Exploration Based on Data Lake.- Analyzing Health Risks Resulting from Unplanned Land Use Plan and Structure: A Case Study in Historic Old Dhaka.- Elderly Care & Knowledge Systems.- Home Self-medication Question-Answering System for the Elderly Based on Seq2Seq Model and Knowledge Graph Technology.- Constructing Multi-Constrained Cognitive Diagnostic Test: An Improved Ant Colony Optimization Algorithm.- Enhancing Patient Safety in Pharmacotherapy.

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Book SynopsisThe book is a comprehensive guide that explores the concept of data economy and its implications in today's world. The book discusses the principles and components of the ecosystem, the challenges and opportunities presented by data monetization, and the potential risks related to data privacy. Real-life examples and case studies are included to understand the concepts better. The book is suitable for individuals in data science, economics, business, and technology and for students, academics, and policymakers. It is an excellent read for anyone interested in the data economy.Table of ContentsChapter 1: Data Economy.- Chapter 2: Navigating the Data Deluge: Challenges and Opportunities.- Chapter 3: Data Monetization.- Chapter 4: Demographic Trend of Data Economy.- Chapter 5: The Economy of Data Privacy.- Chapter 6: Application of Data Economy.

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Book SynopsisThis book constitutes the refereed proceedings of the 19th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2023, held in conjunction with the 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2023), in November 2023, in Jakarta, Indonesia. The 9 full papers and 2 short papers included in this volume were carefully reviewed and selected from 28 initial submissions. They are organized in the topical section such as machine learning, natural language processing, and intelligent systems.Table of ContentsPredicting Peak Demand Days for Asthma-Related Emergency Hospitalisations: A Machine Learning Approach.- Discovering Maximal High Utility Co-location Patterns from Spatial Data.- Exploring the Potential of Image Overlay in Self-Supervised Learning: A Study on SimSiam Networks and Strategies for Preventing Model Collapse.- BoCB: Performance Benchmarking by Analysing Impacts of Cloud Platforms on Consortium Blockchain.- Automated Cattle Behavior Classification Using Wearable Sensors and Machine Learning Approach.- LexiFusedNet: A Unified Approach for Imbalanced Short-text Classification using Lexicon-based Feature Extraction, Transfer Learning and One Class Classifiers.- Information Gerrymandering in Elections.- An Assessment of the Influence of Interaction and Recommendation Approaches on the Formation of Information Filter Bubbles.- Blockchain as a Collaborative Technology - Case Studies in the Real Estate Sector in Vietnam.- Indonesian Forest Fire Data Clustering using Spatiotemporal Data Using Grid Density-Based Clustering Algorithm.

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Book SynopsisThe 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis. Table of ContentsLearning Bottleneck Transformer for Event Image-Voxel Feature Fusion based Classification.- Multi-scale Dilated Attention Graph Convolutional Network for Skeleton-Based Action Recognition.- Auto-Learning-GCN: An Ingenious Framework for Skeleton-based Action Recognition.- Skeleton-based Action Recognition with Combined Part-wise Topology Graph Convolutional Networks.- Segmenting Key Clues to Induce Human-Object Interaction Detection.- Lightweight Multispectral Skeleton and Multi-Stream Graph Attention Networks for Enhanced Action Prediction with Multiple Modalities.- Spatio-temporal Self-supervision for Few-shot Action Recognition.- A Fuzzy Error based Fine-tune Method for Spatio-temporal Recognition Model.- Temporal-Channel Topology Enhanced Network for Skeleton-Based Action Recognition.- HFGCN-Based Action Recognition System for Figure Skating.- Image Priors Assisted Pre-training for Point Cloud Shape Analysis.-AMM-GAN: Attribute-Matching Memory for Person Text-to-Image Generation.- RecFormer: Recurrent Multi-modal Transformer with History-aware Contrastive Learning for Visual Dialog.- KV Inversion: KV Embeddings Learning for Text-Conditioned Real Image Action Editing.- Enhancing Text-Image Person Retrieval through Nuances Varied Sample.- Unsupervised Prototype Adapter for Vision-Language Models.- Multimodal Causal Relations Enhanced CLIP for Image-to-Text Retrieval.- Exploring Cross-Modal Inconsistency in Entities and Emotions for Multimodal Fake News Detection.- Deep Consistency Preserving Network for Unsupervised Cross-modal Hashing.- Learning Adapters for Text-guided Portrait Stylization with Pretrained Diffusion Models.- EdgeFusion: Infrared and Visible Image Fusion Algorithm in Low Light.- An Efficient Momentum Framework for Face-Voice Association Learning.- Multi-modal Instance Refinement for Cross-domain Action Recognition.- Modality Interference Decoupling and Representation Alignment for Caricature-Visual Face Recognition.- Plugging Stylized Controls in Open-Stylized Image Captioning.- MGT: Modality-Guided Transformer for Infrared and Visible Image Fusion.- Multimodal Rumor Detection by Using Additive Angular Margin with Class-aware Attention for Hard Samples.- An Effective Dynamic Reweighting Method for Unbiased Scene Graph Generation.- Multi-modal Graph and Sequence Fusion Learning for Recommendation.- Co-attention guided local-global feature fusion for aspect-level multimodal sentiment analysis.- Discovering Multimodal Hierarchical Structures with Graph Neural Networks for Multi-modal and Multi-hop Question Answering.- Enhancing Recommender System with Multi-modal Knowledge Graph.- Location Attention Knowledge Embedding Model for Image-Text Matching.- Pedestrian Attribute Recognition Based on Multimodal Transformer.- RGB-D Road Segmentation Based on Geometric Prior Information.- Contrastive Perturbation Network for Weakly Supervised Temporal Sentence Grounding.- MLDF-Net: Metadata Based Multi-level Dynamic Fusion Network.- Efficient Adversarial Training with Membership Inference Resistance.- Enhancing Image Comprehension for Computer Science Visual Question Answering.- Cross-Modal Attentive Recalibration and Dynamic Fusion for Multispectral Pedestrian Detection.

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Book SynopsisThe 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis. Table of ContentsDeep Stereo Matching with Superpixel-based Feature and Cost Aggregation.- GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene Flow.- Diffusion-based 3D Object Detection with Random Boxes.- Blendshape-based Migratable Speech-driven 3D Facial Animation with Overlapping Chunking-Transformer.- FIRE: Fine Implicit Reconstruction Enhancement with Detailed Body Part Labels and Geometric Features.- Sem-Avatar: Semantic Controlled Neural Field for High-Fidelity Audio Driven Avatar.- Depth optimization for accurate 3D Reconstruction from light field images.- TriAxial Low-Rank Transformer for Efficient Medical Image Segmentation.- SACFormer: Unify Depth Estimation and Completion with Prompt.- Rotation-Invariant Completion Network.- Towards Balanced RGB-TSDF Fusion for Consistent Semantic Scene Completion by 3D RGB Feature Completion and a Classwise Entropy Loss Function.- FPTNet: Full Point Transformer Network for Point Cloud Completion.- Efficient Point-based Single Scale 3D Obiect Detection from Traffic Scenes.- Matching-to-Detecting: Establishing Dense and Reliable Correspondences between Images.- Solving Generalized Pose Problem of Central and Non-central Cameras.- RICH: Robust Implicit Clothed Humans Reconstruction from Multi-Scale Spatial Cues.- An Efficient and Consistent Solution to the PnP Problem.- Autoencoder and Masked Image Encoding-based Attentional Pose Network.- A Voxel-Based Multiview Point Cloud Refinement Method via Factor Graph Optimization.- SwinFusion: channel query-response based feature fusion for monocular depth estimation.- PCRT: Multi-branch Point Cloud Reconstruction from a Single Image with Transformers.- Progressive Point Cloud Generating by Shape Decomposing and Upsampling.- Three-dimensional Plant Reconstruction with Enhanced Cascade-MVSNet.- Learning Key Features Transformer Network for Point Cloud Processing.- Unsupervised Domain Adaptation for 3D Object Detection via Self-Training.- Generalizable Neural Radiance Field with Hierarchical Geometry Constraint.- ACFNeRF: Accelerating and Cache-Free Neural Rendering via Point Cloud-based Distance Fields.- OctPCGC-Net: Learning Octree-Structured Context Entropy Model for Point Cloud Geometry Compression.- Multi-modal Feature Guided Detailed 3D Face Reconstruction from a Single Image.- Advanced License Plate Detector in Low-Quality Images with Smooth Regression Constraint.- A Feature Refinement Patch Embedding-Based Recognition Method for Printed Tibetan Cursive Script.- End-to-End Optical Music Recognition with Attention Mechanism and Memory Units Optimization.- Tripartite Architecture License Plate Recognition based on Transformer.- Focus the Overlapping Problem on Few-Shot Object Detection via Multiple Predictions.- Target-aware Bi-Transformer for Few-Shot Segmentation.- Convex Hull Collaborative Representation Learning on Grassmann Manifold with L_1 norm Regularization.- FUFusion: Fuzzy Sets Theory for Infrared and Visible Image Fusion.-Progressive Frequency-aware Network for Laparoscopic Image Desmoking.-A pixel-level segmentation method for water surface reflection detection

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Book SynopsisThe 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis. Table of ContentsLoss Filtering Factor for Crowd Counting.- Classifier Decoupled Training for Black-Box Unsupervised Domain Adaptation.- Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning.- Unsupervised Domain Adaptation for Optical Flow Estimation.- Continuous Exploration via Multiple Perspectives in Sparse Reward Environment.- Network Transplanting for the Functionally Modular Architecture.- TiAM-GAN: Titanium Alloy Microstructure Image Generation Network.- A Robust Detection and Correction Framework for GNN-based Vertical Federated Learning.- QEA-Net: Quantum-Effects-based Attention Networks.- Learning Scene Graph for Better Cross-Domain Image Captioning.- Enhancing Rule Learning on Knowledge Graphs through Joint Ontology and Instance Guidance.- Explore Across-Dimensional Feature Correlations for Few-Shot Learning.- Pairwise-emotion Data Distribution Smoothing for Emotion Recognition.- SIEFusion: Infrared and Visible Image Fusion via Semantic Information Enhancement.- DeepChrom: A Diffusion-Based Framework for Long-Tailed Chromatin State Prediction.- Adaptable Conservative Q-Learning for Offline Reinforcement Learning.- Boosting Out-of-Distribution Detection with Sample Weighting.- Causal discovery via the subsample based reward and punishment mechanism.- Local Neighbor Propagation Embedding.- Inter-class sparsity based non-negative transition sub-space learning.- Incremental Learning Based on Dual-branch Network.- Inter-Image Discrepancy Knowledge Distillation for Semantic Segmentation.- Cascaded Bilinear Mapping Collaborative Hybrid Attention Modality Fusion Model.- CasFormer: Cascaded Transformer based on Dynamic Voxel Pyramid for 3D Object Detection from Point Clouds.- Generalizable and Accurate 6D Object Pose Estimation Network.- An Internal-external Constrained Distillation Framework for Continual Semantic Segmentation.- MTD: Multi-Timestep Detector for Delayed Streaming Perception.- Semi-Direct SLAM with Manhattan for Indoor Low-texture Environment.- L2T-BEV: Local Lane Topology Prediction from Onboard Surround-View Cameras in Bird’s Eye View Perspective.- CCLane: Concise Curve Anchor-based Lane Detection Model with MLP-Mixer.- Uncertainty-aware Boundary Attention Network for Real-time Semantic Segmentation.- URFormer: Unified Representation LiDAR-Camera 3D Object Detection with Transformer.- A Single-Stage 3D Object Detection Method Based on Sparse Attention Mechanism.- WaRoNav: Warehouse Robot Navigation Based on Multi-View Visual-Inertial Fusion.- Enhancing Lidar and Radar Fusion for Vehicle Detection in Adverse Weather via Cross-Modality Semantic Consistency.- Enhancing Active Visual Tracking under Distractor Environments.- Cross-modal and Cross-domain Knowledge Transfer for Label-free 3D Segmentation.- Cross-task Physical Adversarial Attack against Lane Detection System Based on LED Illumination Modulation.- RECO: Rotation Equivariant COnvolutional Neural Network for Human Trajectory Forecasting.- FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object Detection

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Book SynopsisThe 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and AnalysisTable of ContentsShared Nearest Neighbor Calibration For Few-Shot Classification.- Prototype Rectification with Region-Wise Foreground Enhancement for Few-Shot Classification.- Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis.- Nonconvex Tensor Hypergraph Learning for Multi-view Subspace Clustering.- A Novel Method for Identifying Bipolar Disorder based on Diagnostic Texts.- Deep Depression Detection based on Feature Fusion and Result Fusion.- Adaptive Cluster Assignment for Unsupervised Semantic Segmentation.- Confidence-Guided Open-World Semi-Supervised Learning.- SSCL: Semi-supervised Contrastive Learning for Industrial Anomaly Detection.- One Step Large-scale Multi-view Subspace Clustering based on Orthogonal Matrix Factorization with Consensus Graph Learning.- Deep Multi-Task Image Clustering with Attention-guided Patch Filtering and Correlation Mining.- Deep Structure and Attention Aware Subspace Clustering.- Broaden Your Positives: A General Rectification Approach for Novel Class Discovery.- CE2: A Copula Entropic Mutual Information Estimator for Enhancing Adversarial Robustness.- Two-step projection of sparse discrimination between classes for unsupervised domain adaptation.- Enhancing Adversarial Robustness via Stochastic Robust Framework.- Pseudo Labels Refinement with Stable Cluster Reconstruction for Unsupervised Re Identification.- Ranking Variance Reduced Ensemble Attack with Dual Optimization Surrogate Search.- PCR: A Large-Scale Benchmark for Pig Counting in Real World.- A Hierarchical Theme Recognition Model for Sandplay Therapy.- Change-Aware Network for Damaged Roads Recognition and Assessment Based on Multi-temporal Remote Sensing Imageries.- UAM-Net: An Attention-Based Multi-Level Feature Fusion UNet for Remote Sensing Image Segmentation.- Improved Conditional Generative Adversarial Networks for SAR-to-Optical Image Translation.- A Novel Cross Frequency-domain Interaction Learning for Aerial Oriented Object Detection.- DBDAN: Dual-Branch Dynamic Attention Network for Semantic Segmentation of Remote Sensing Images.- Multi-scale Contrastive Learning for Building Change Detection in Remote Sensing ImagesShadow Detection of Remote Sensing Image by Fusion of Involution and Shunted Transformer.- Few-shot Infrared Image Classification with Partial Concept Feature.- AGST-LSTM: The ConvLSTM model combines attention and gate structure for spatiotemporal sequence prediction learning.- A Shape-based Quadrangle Detector for Aerial Images.- End-to-end Unsupervised Style and Resolution Transfer Adaptation Segmentation Model for Remote Sensing ImagesA physically feasible counter-attack method for remote sensing imaging point clouds.- Adversarial Robustness via Multi-experts framework for SAR recognition with Class Imbalanced.- Recognizer Embedding Diffusion Generation for Few-shot SAR Recognization.- A Two-Stage Federated Learning Framework for Class Imbalance in Aerial Scene ClassificationSAR Image Authentic Assessment with Bayesian Deep Learning and Counterfactual Explanations.- Circle Representation Network for Specific Target Detection in Remote Sensing Image.- A Transformer-Based Adaptive Semantic Aggregation Method for UAV Visual Geo-Localization.- Lightweight Multiview Mask Contrastive Network for Small-sample Hyperspectral Image Classification.- Dim moving target detection based on imaging uncertainty analysis and hybrid entropy

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Book SynopsisThe 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis. Table of ContentsFeature Enhancement with Text-specific Region Contrast for Scene Text Detection.- Learning Efficient Representations for Patent Drawing Retrieval.- HelixNet: Dual Helix Cooperative Decoders for Scene Text Removal.- Semantic-information Space Sharing Interaction Network for Arbitrary Shape Text Detection.- AIE-KB: Information Extraction Technology with Knowledge Base for Chinese Archival Scenario.- Deep Hough Transform For Gaussian Semantic Box-Lines Alignment.- Chinese-Vietnamese Cross-lingual Event Causality Identification Based on Syntactic Graph Convolution.- MCKIE: Multi-Class Key Information Extraction from Complex Documents based on Graph Convolutional Network.- A Pre-trained Model For Chinese Medical Record Punctuation Restoration.- "English and Spanish Bilinguals’ Language Processing: An ALE-based Meta-analysis of Neuroimaging Studies".- Robust Subspace Learning with Double Graph Embedding Unsupervised Feature Selection via Nonlinear Representation and Adaptive Structure Preservation.- Text Causal Discovery Based on Sequence Structure Information.- MetaSelection: A Learnable Masked AutoEncoder for Multimodal Sentiment Feature Selection.- Image Manipulation Localization based on Multiscale Convolutional Attention.- Bi-Stream Multiscale Hamhead Networks with Contrastive Learning for Image forgery Localization.- Fuse Tune: Hierarchical Decoder Towards Efficient Transfer Learning.- Industrial-SAM with Interactive Adapter.- Mining Temporal Inconsistency with 3D Face Model for Deepfake Video Detection.- DT-TransUNet: A Dual-task Model for Deepfake Detection and Segmentation.- Camouflaged Object Detection via Global-edge Context and Mixed-scale Refinement.- Enhancing CLIP-Based Text-Person Retrieval by Leveraging Negative Samples.- Global Selection and Local Attention Network for Referring Image Segmentation.- MTQ-Caps: A Multi-Task Capsule Network for Blind Image Quality Assessment.- VCD: Visual Causality Discovery for Cross-Modal Question Reasoning.- Multimodal Topic and Sentiment Recognition for Chinese Data Based on Pre-trained Encoders.- Multi-Feature Fusion-Based Central Similarity Deep Supervised Hashing.- VVA: Video Values Analysis.- Dynamic Multi-modal Prompting for Efficient Visual Grounding.- A Graph-involved Lightweight Semantic Segmentation Network.- User-Aware Prefix-Tuning is a Good Learner for Personalized Image Captioning.- An End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition.- Target-oriented Multi-criteria Band Selection for Hyperspectral Image.- Pairwise Negative Sample Mining for Human-Object Interaction Detection.- An Evolutionary Multiobjective Optimization Algorithm based on Manifold Learning.- Path Planning of Automatic Parking System by A Point-based Genetic AlgorithmPenalty-Aware Memory Loss for Deep Metric Learning.- Central and Directional Muti-Neck Knowledge Distillation.- Online Class-incremental Learning in Image Classification based on AttentionOnline airline baggage packing based on hierarchical tree A2C-reinforcement learning framework

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Book SynopsisThe 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis. Table of ContentsA Quantum-based Attention Mechanism in Scene Text Detection.- NCMatch: Semi-Supervised Learning with Noisy Labels via Noisy Sample Filter and Contrastive Learning.- Data-free Low-bit Quantization via Dynamic Multi-teacher Knowledge Distillation.- LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation.- DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation.- Space-Transform Margin Loss with Mixup for Long-tailed Visual Recognition.- A Multi-Perspective Squeeze Excitation Classifier Based on Vision Transformer for Few Shot Image Classification.- ITCNN: Incremental Learning Network Based on ITDA and Tree Hierarchical CNN.- Periodic-Aware Network for Fine-grained Action Recognition.- Learning Domain-invariant Representations from Text for Domain Generalization.- TSTD:A Cross-modal Two Stages Network with New Trans-Decoder for Point Cloud Semantic Segmentation.- NeuralMAE: Data-Efficient Neural Architecture Predictor with Masked Autoencoder.- Co-Regularized Facial Age Estimation with Graph-Causal Learning.- Online Distillation and Preferences Fusion for Graph Convolutional Network-based Sequential Recommendation.- Grassmann Graph Embedding for Few-Shot Class Incremental Learning.- Global Variational Convolution Network for Semi-Supervised Node Classification on Large-scale Graphs.- Frequency Domain Distillation for Data-Free Quantization of Vision Transformer.- An ANN-Guided Approach to Task-Free Continual Learning with Spiking Neural Networks.- Multi-Adversarial Adaptive Transformers for Joint Multi-Agent Trajectory Prediction.- Enhancing Open-Set Object Detection via Uncertainty-Boxes Identification.- Interventional Supervised Learning for Person Re-Identification.- DP-INNet: Dual-Path Implicit Neural Network for Spatial and Spectral Features Fusion in Pan-sharpening.- Stable Visual Pattern Mining via Pattern Probability Distribution.- Dynamic Visual Prompt Tuning for Parameter Efficient Transfer Learning.- C-volution: A Hybrid operator for Visual Recognition.- Motor Imagery EEG Recognition Based on an Improved Convolutional Neural Network with Parallel Gate Recurrent Unit.- A Stable Vision Transformer for Out-of-Distribution Generalization.- Few-Shot Classification with Semantic Augmented Activators.- MixPose: 3D Human Pose Estimation with Mixed Encoder.- Image Manipulation Detection Based on Ringed Residual Edge Artifact Enhancement and Multiple Attention Mechanisms.- Improving Masked Autoencoders by Learning Where to Mask.- An Audio Correlation-Based Graph Neural Network for Depression Recognition.- Dynamic Gesture Recognition based on 3D Central Difference Separable Residual LSTM Coordinate Attention Networks.- QESAR: Query Effective Decision-based Attack on Skeletal Action Recognition.- A Closer Look at Few-shot Object Detection.- Learning-without-Forgetting via Memory Index in Incremental Object Detection.- SAMDConv: Spatially Adaptive Multi-scale Dilated Convolution.- SADD:Generative Adversarial Networks via Self-Attention and Dual Discriminator in Unsupervised Domain Adaptation.- ELFLN: An Efficient Lightweight Facial Landmark Network Based on Hybrid Knowledge Distillation.- Enhancing Continual Noisy Label Learning with Uncertainty-based Sample Selection and Feature Enhancement

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Book SynopsisThe 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis. Table of ContentsDecoupled Contrastive Learning for Long-Tailed Distribution.- MFNet: A Channel Segmentation-based Hierarchical Network for Multi-Food Recognition.- Improving the Adversarial Robustness of Object Detection with Contrastive Learning.- CAWNet: A Channel Attention Watermarking Attack Network Based on CWABlock.- Global Consistency Enhancement Network for Weakly-Supervised Semantic Segmentation.- Enhancing Model Robustness against Adversarial Attacks with an Anti-Adversarial Module.- FGPTQ-ViT:Fine-grained Post-training Quantization for Vision Transformers.- Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting.- DeCAB: Debiased Semi-Supervised Learning for Imbalanced Open-Set Data.- An Effective Visible-Infrared Person Re-identification Network based on Second-Order Attention and Mixed Intermediate Modality.- Quadratic polynomial residual network for no-reference image quality assessment.- Interactive Learning for Interpretable Visual Recognition via Semantic-Aware Self-Teaching Framework.-Adaptive and Compact Graph Convolutional Network for Micro-Expression Recognition.- Consistency Guided Multiview Hypergraph Embedding Learning with Multiatlas-Based Functional Connectivity Networks Using Resting-State fMRI.- A Diffusion Simulation User Behavior Perception Attention Network for Information Diffusion Prediction.- A Representation Learning Link Prediction Approach Using Line Graph Neural Networks.- Event Sparse Net: Sparse Dynamic Graph Multi-representation Learning with Temporal Attention for Event-based Data.- Federated Learning Based on Diffusion Model to Cope with non-IID DataSFRSwin: A shallow significant feature retention Swin Transformer for fine-grained image classification of wildlife species.- A robust and high accurate method for hand kinematics decoding from neural populations.- Multi-head Attention Induced Dynamic Hypergraph Convolutional Networks.- Self Supervised Temporal Ultrasound Reconstruction for Muscle Atrophy EvaluationSalient Object Detection Using Reciprocal Learning.- Graphormer-based Contextual Reasoning Network for Small Object Detection.- PVT-Crowd:Bridging Multi-scale Features from Pyramid Vision Transformer for Weakly-Supervised Crowd Counting.- Multi-view Contrastive Learning Network for Recommendation.- Uncertainty-confidence fused pseudo-labeling for Graph Neural Networks.- FSCD-Net: A Few-Shot Stego Cross-Domain Net for Image Steganalysis.- Preference Contrastive Learning for Personalized Recommendation.- GLViG: Global and Local Vision GNN May be What You Need for Vision.- SVDML: Semantic and Visual space Deep Mutual Learning for Zero-Shot Learning.- Heterogeneous Graph Attribute Completion via Efficient Meta-path Context-aware Learning.- Fine-Grain Classification Method of Non-Small Cell Lung Cancer Based on Progressive Jigsaw and Graph Convolutional Network.- Improving Transferability of Adversarial Attacks with Gaussian Gradient Enhance Momentum.- Boundary Guided Feature fusion Network for Camouflaged Object Detection.- Saliency Driven Monocular Depth Estimation based on Multi-scale Graph Convolutional Network.- Mask-guided Joint Single Image Specular Highlight Detection and Removal.- CATrack: Convolution and Attention Feature Fusion for Visual Object TrackingSText-DETR: End-to-End Arbitrary-Shaped Text Detection with Scalable Query in Transformer.- SSHRF-GAN: Spatial-Spectral Joint High Receptive Field GAN for Old Photo Restoration

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Book SynopsisThe 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis. Table of ContentsDual-stream Context-aware Neural Network for Survival Prediction from Whole Slide Images.- A multi-label image recognition algorithm based on spatial and semantic correlation interaction.- Hierarchical Spatial-Temporal Network for Skeleton-Based Temporal Action Segmentation.- Multi-Behavior Enhanced Graph Neural Networks for Social Recommendation.- A Complex-valued Neural Network based Robust Image Compression.- Binarizing Super-resolution Neural Network without Batch Normalization.- Infrared and Visible Image Fusion via Test-Time Training.- Graph-based Dependency-aware Non-Intrusive Load Monitoring.- Few-shot Object Detection via Classify-free RPN.- IPFR: Identity-Preserving Face Reenactment with Enhanced Domain Adversarial Training and Multi-level Identity Priors.- L2MNet: Enhancing Continual Semantic Segmentation with Mask Matching.- Adaptive Channel Pruning for Trainability Protection.- Exploiting Adaptive Crop and Deformable Convolution for Road Damage Detection.- Cascaded-scoring Tracklet Matching for Multi-object Tracking.- Boosting Generalization Performance in Person Re-IdentificationSelf-Guided Transformer for Video Super-Resolution.- SAMP: Sub-task Aware Model Pruning with Layer-wise Channel Balancing for Person Search.- MKB: Multi-kernel Bures Metric for Nighttime Aerial Tracking.- Deep Arbitrary-Scale Unfolding Network for Color-Guided Depth Map Super-Resolution.- SSDD-Net: A Lightweight and Efficient Deep Learning Model for Steel Surface Defect Detection.- Effective Small Ship Detection with Enhanced-YOLOv7.- PiDiNeXt: An Efficient Edge Detector based on Parallel Pixel Difference Networks.- Transpose and Mask: Simple and Effective Logit-Based Knowledge Distillation for Multi-Attribute and Multi-Label Classification.- CCSR-Net: Unfolding coupled convolutional sparse representation for multi-focus image fusion.- FASONet: A Feature Alignment-Based SAR and Optical Image Fusion Network for Land Use Classification.- De Novo Design of Target-Specific Ligands Using BERT-Pretrained Transformer.- CLIP for Lightweight Semantic Segmentation.- Teacher-Student Cross-Domain Object Detection Model Combining Style Transfer and Adversarial Learning.- Computing 2D Skeleton via Generalized Electric Potential.- Illumination Insensitive Monocular Depth Estimation based on Scene Object Attention and Depth Map Fusion.- A Few-Shot Medical Image Segmentation Network with Boundary Category Correction.- Repdistiller: Knowledge Distillation Scaled by Re-parameterization for Crowd Counting.- Multi-depth Fusion Transformer and Batch Piecewise Loss for Visual Sentiment Analysis.- Expanding the Horizons: Exploring Further Steps in Open-Vocabulary Segmentation.- Exploring a Distillation with Embedded Prompts for Object Detection in Adverse Environments.- TEFNet: Target-Aware Enhanced Fusion Network for RGB-T Tracking.- DARN: Crowd Counting Network Guided by Double Attention Refinement.- DFR-ECAPA: Diffusion Feature Refinement for Speaker Verification based on ECAPA-TDNN.- Half Aggregation Transformer for Exposure Correction.- Deformable Spatial-Temporal Attention for Lightweight Video Super-Resolution

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Book SynopsisThe 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis. Table of ContentsOKGR: Occluded Keypoint Generation and Refinement for 3D Object Detection.- Camouflaged Object Segmentation Based on Fractional Edge Perception.- DecTrans: Person Re-identification with Multifaceted Part Features via Decomposed Transformer.- AHT: A Novel Aggregation Hyper-Transformer for Few-Shot Object Detection.- Feature Refinement from Multiple Perspectives for High Performance Salient Object Detection.- Feature Disentanglement and Adaptive Fusion for Improving Multi-Modal Tracking.- Modality Balancing Mechanism for RGB-Infrared Object Detection in Aerial Image.- Pacific Oyster Gonad Identification and Grayscale Calculation Based on Unapparent Object Detection.- Multi-task Self-supervised Few-Shot Detection.- CSTrack: A Comprehensive and Concise Vision Transformer Tracker.- Feature Implicit Enhancement via Super-Resolution for Small Object Detection.- Improved detection method for SODL-YOLOv7 intensive juvenile abalone.- MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation.- Context-FPN and Memory Contrastive Learning for Partially Supervised Instance Segmentation.- A Dynamic Tracking Framework Based on Scene Perception.- HPAN: A Hybrid Pose Attention Network for Person Re-identification.- SpectralTracker: Jointly High and Low-Frequency Modeling for Tracking.- DiffusionTracker: Targets Denoising based on Diffusion Model for Visual Tracking.- Instance-proxy Loss for Semi-supervised Learning with Coarse Labels.- FAFVTC: A Real-time Network for Vehicle Tracking and Counting.- Ped-Mix: Mix Pedestrians for Occluded Person Re-Identification.- Object-Aware Transfer-based Black-box Adversarial Attack on Object Detector.- HTNet: A Hybrid Model Boosted by Triple Self-Attention for Crowd Counting.- Reliable Boundary Samples-based Proxy Pairs for Unsupervised Person Re- dentification.- High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection.- Few-Shot Object Detection Algorithm Based on Adaptive Relation Distillation.- A real-time safety detector based on re-parameterization multiscale feature fusion for forklift driving.- RTMDet-R2：An Improved Real-Time Rotated Object Detector.- Boosting Object Detection in Foggy Scenes via Dark Channel Map and Union Training Strategy.- Object Centric Body Part Attention Network for Human-Object Interaction Detection.- Salient Feature Enhanced Multi-Object Tracking with Soft-Sparse Attention in Transformer.- A BiGRU based Adaptive Gain Estimation for radar Multi-target Tracking.- Prompt based Lifelong Person Re-identification.- Hierarchical Focused Feature Pyramid Network for Small Object Detection JLInst: Boundary-Mask Joint Learning for Instance Segmentation.- Boosting One-stage Multi Object Tracking with Attention Learning.- TPNet: Enhancing Weakly Supervised Polyp Frame Detection with Temporal Encoder and Prototype-based Memory Bank.- Learning Frequency-based Disentanglement and Filtering for Generalizable Person Re-identification.- Stereo3DMOT: Stereo Vision Based 3D Multi-Object Tracking with Multimodal ReID.- Emphasizing Boundary-Positioning and Leveraging Multi-Scale Feature Fusion for Camouflaged Object Detection

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Book SynopsisThe 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis. Table of ContentsGrowth Simulation Network for Polyp Segmentation.- Brain Diffuser: An End-To-End Brain Image to Brain Network Pipeline.- CCJ-SLC: A Skin Lesion Image Classification Method based on Contrastive Clustering and Jigsaw Puzzle.- A Real-Time Network for Fast Breast Lesion Detection in Ultrasound Videos.- CBAV-Loss: Crossover and Branch Losses for Artery-vein Segmentation in OCTA Images.- Leveraging Data Correlations For Skin Lesion Classification.- CheXNet: Combing Transformer and CNN for Thorax Disease Diagnosis from Chest X-ray Images.- Cross Attention Multi Scale CNN-Transofmer Hybrid encoder is General Medical Image Learner.- Weakly/Semi-supervised Left Ventricle Segmentation in 2D Echocardiography with Uncertain Region-aware Contrastive Learning.- Spatial-Temporal Graph Convolutional Network for Insomnia Classification via Brain Functional Connectivity Imaging of rs-fMRI.- Probability-based Nuclei Detection and Critical-Region Guided Instance Segmentation.- FlashViT: A Flash Vision Transformer with Large-scale Token Merging for Congenital Heart Disease Detection.- Semi-supervised Retinal Vessel Segmentation through Point Consistency.- Knowledge Distillation of Attention and Residual U-Net: Transfer from Deep to Shallow Models for Medical Image Classification.- Two-stage deep learning segmentation for tiny brain regions.- Encoder Activation Diffusion and Decoder Transformer Fusion Network for Medical Image Segmentation.- Liver segmentation via learning cross-modality content-aware representation.- Semi-Supervised Medical Image Segmentation based on Multi-scale Knowledge Discovery and Multi-task Ensemble.- LATrans-Unet: Improving CNN-Transformer with Location-Adaptive for Medical Image Segmentation.- Adversarial Keyword Extraction and Semantic-Spatial Feature Aggregation for Clinical Report Guided Thyroid Nodule Segmentation.- A Multi-Modality Driven Promptable Transformer for Automated Parapneumonic Effusion Staging.- Assessing the Social Skills of Children with Autism Spectrum Disorder via Language-Image Pre-training Models.- PPS: Semi-supervised 3D Biomedical Image Segmentation via Pyramid Pseudo-Labeling Supervision.- A Novel Diffusion-Model-Based OCT Image Inpainting Algorithm for Wide Saturation Artifacts.- Only Classification Head is Sufficient for Medical Image Segmentation.- Task-incremental Medical Image Classification with Task-specific Batch Normalization.- Hybrid Encoded Attention Networks for Accurate Pulmonary Artery-Vein Segmentation in Noncontrast CT Images.- Multi-Modality Fusion based Lung Cancer Survival Analysis with Self-Supervised Whole Slide Image Representation Learning.- Incorporating Spiking Neural Network for Dynamic Vision Emotion Analysis.- PAT-Unet: Paired Attention Transformer for Efficient and Accurate Segmentation of 3D Medical Images.- Cell-CAEW: Cell Instance Segmentation based on ConvAttention and Enhanced Watershed.- A Comprehensive Multi-modal Domain Adaptative Aid Framework for Brain Tumor Diagnosis.- Joint Boundary-Enhanced and Topology-Preserving Dual-Path Network for Retinal Layer Segmentation in OCT Images with Pigment Epithelial Detachment.- Spatial Feature Regularization and Label Decoupling based Cross-Subject Motor Imagery EEG Decoding.- Autism spectrum disorder diagnosis using graph neural network based on graph pooling and self-adjust filter.- CDBIFusion: A Cross-Domain Bidirectional Interaction Fusion Network for PET and MRI Images.- LF-LVS: Label-Free Left Ventricular Segmentation for Transthoracic Echocardiogram.- Multi-atlas Representations based on Graph Convolutional Networks for Autism Spectrum Disorder Diagnosis.- MS-UNet: Swin Transformer U-Net with Multi-scale Nested Decoder for Medical Image Segmentation with Small Training Data.- GCUNET: Combining GNN and CNN for Sinogram Restoration in Low-Dose SPECT Reconstruction.- A two-stage whole body bone SPECT scan image inpainting algorithm for residual urine artifacts based on contextual attention.

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Book SynopsisThis book constitutes the proceedings of the 17th Chinese Conference, CCBR 2023, held in Xuzhou, China, during December 1–3, 2023. The 41 full papers included in this volume were carefully reviewed and selected from 79 submissions. The volume is divided in topical sections named: Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking; Affective Computing and Human-Computer Interface; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications. Table of ContentsFingerprint, Palmprint and Vein Recognition.- Face Detection, Recognition and Tracking.- Affective Computing and Human-Computer Interface.- Gait, Iris and Other Biometrics.- Trustyworth, Privacy and Persondal Data Security.- Medical and Other Applications.

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Book SynopsisThis introductory textbook teaches the simple development of geospatial applications based on the principles and software tools of geospatial data science. It introduces a new generation of geospatial technologies that have emerged from the development of the Semantic Web and the linked data paradigm, and shows how data scientists can use them to build environmental applications easily. Geospatial data science is the science of collecting, organizing, analyzing, and visualizing geospatial data. Since around 2010, there has been extensive work in the area of geospatial data science using semantic technologies and linked data, from researchers in the areas of the Semantic Web, Geospatial Databases and Geoinformatics. The main results of this research have been the publication of the OGC standard GeoSPARQL and the implementation of a number of linked data tools supporting this standard. Up to now, there has been no textbook that enables someone to teach this material to undergraduate or graduate students.The material of the book is developed in a tutorial style and it is appropriate for an introductory course on the subject. This can be an advanced undergraduate course or a graduate course offered by Computer Science or GIS faculty. It is a hands-on approach and every chapter contains exercises that help students master the material.The book is accompanied by a Web site where solutions to some of the exercises are given together with supplementary material such as datasets and code. Most of the material in the book has been tried in the "Knowledge Technologies" course taught by the first author in the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens since 2012.

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Book SynopsisThis introductory textbook teaches the simple development of geospatial applications based on the principles and software tools of geospatial data science. It introduces a new generation of geospatial technologies that have emerged from the development of the Semantic Web and the linked data paradigm, and shows how data scientists can use them to build environmental applications easily. Geospatial data science is the science of collecting, organizing, analyzing, and visualizing geospatial data. Since around 2010, there has been extensive work in the area of geospatial data science using semantic technologies and linked data, from researchers in the areas of the Semantic Web, Geospatial Databases and Geoinformatics. The main results of this research have been the publication of the OGC standard GeoSPARQL and the implementation of a number of linked data tools supporting this standard. Up to now, there has been no textbook that enables someone to teach this material to undergraduate or graduate students.The material of the book is developed in a tutorial style and it is appropriate for an introductory course on the subject. This can be an advanced undergraduate course or a graduate course offered by Computer Science or GIS faculty. It is a hands-on approach and every chapter contains exercises that help students master the material.The book is accompanied by a Web site where solutions to some of the exercises are given together with supplementary material such as datasets and code. Most of the material in the book has been tried in the "Knowledge Technologies" course taught by the first author in the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens since 2012.

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Book SynopsisAs the use of AI becomes more and more ubiquitous in companies around the world, managers charged with taking key decisions require resources to enable them to evaluate new projects effectively. The business case for AI projects is not necessarily clear cut and part of the reason for this is the lack of understanding on key decision criteria. AI touches on many ethical concepts - data privacy, validity and more importantly, its potential misuse. AI is often being used to replace human decision-making and there is often no real understanding of the implications of this. This book provides a detailed primer for practitioners without a deep technological background. It guides the reader through the basic issues and offers advice on 'how to take decisions'. There is a dearth of such books currently available and this book aspires to fill a growing niche.Trade ReviewThis book is sure to offer value to business users, students and the general public."" — K. Ananth Krishnan, Tata Consultancy Services""I highly recommend this book for the leader seeking an up-to-date review of AI to make strategic investments."" — Kes Sampanthar, Innovation, BCG Brighthouse""The AI Enabled Organization is the perfect tool to embark on a thorough assessment of what AI means for your business."" — Arno Fehler, Schmidt Kranz Group, Germany

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Book SynopsisAs the use of AI becomes more and more ubiquitous in companies around the world, managers charged with taking key decisions require resources to enable them to evaluate new projects effectively. The business case for AI projects is not necessarily clear cut and part of the reason for this is the lack of understanding on key decision criteria. AI touches on many ethical concepts - data privacy, validity and more importantly, its potential misuse. AI is often being used to replace human decision-making and there is often no real understanding of the implications of this. This book provides a detailed primer for practitioners without a deep technological background. It guides the reader through the basic issues and offers advice on 'how to take decisions'. There is a dearth of such books currently available and this book aspires to fill a growing niche.Trade ReviewThis book is sure to offer value to business users, students and the general public."" — K. Ananth Krishnan, Tata Consultancy Services""I highly recommend this book for the leader seeking an up-to-date review of AI to make strategic investments."" — Kes Sampanthar, Innovation, BCG Brighthouse""The AI Enabled Organization is the perfect tool to embark on a thorough assessment of what AI means for your business."" — Arno Fehler, Schmidt Kranz Group, Germany

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Book Synopsis

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Table of Contents1. Added value of digital twins and IoT 2. Cloud and IoT technologies 3. Digital twin model creation of a robotic arm 4. Ball on plate modeling 5. Digital twin model creation of double mass spring damper system 6. Digital twin model creation of solar panels 7. Digital twin development for an inverter circuit for motor drive systems 8. Digital twin development and cloud deployment for a Hybrid Electric Vehicle 9. Digital twin development and cloud deployment for a DC Motor Control embedded system 10. Digital twin development and deployment for a wind turbine Index

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Book SynopsisAlan Turing, pioneer of computing and WWII codebreaker, is one of the most important and influential thinkers of the twentieth century. In this volume for the first time his key writings are made available to a broad, non-specialist readership. They make fascinating reading both in their own right and for their historic significance: contemporary computational theory, cognitive science, artificial intelligence, and artificial life all spring from this ground-breaking work, which is also rich in philosophical and logical insight. An introduction by leading Turing expert Jack Copeland provides the background and guides the reader through the selection. About Alan TuringAlan Turing FRS OBE, (1912-1954) studied mathematics at King''s College, Cambridge. He was elected a Fellow of King''s in March 1935, at the age of only 22. In the same year he invented the abstract computing machines - now known simply as Turing machines - on which all subsequent stored-program digital computers are modelTrade ReviewThe editor not only presents the Turing seminal papers and ingenious contributions to fields he was far ahead his time, he also gives easy access for non-specialists by his comprehensive introductions and comments. * Volker Peckhaus, Zentralblatt MATH 1076 *Table of ContentsAlan Turing 1912-1954 ; Computable Numbers: A Guide ; 1. On Computable Numbers, with an Application to the Entscheidensproblem (1936) ; 2. On Computable Numbers: Corrections and Critiques ; 3. Systems of Logic Based on Ordinals (1938) ; 4. Letters on Logic to Max Newman (c. 1940) ; Enigma ; 5. History of Hut 8 to December 1941 (1845) ; 6. Bombe and Spider (1940) ; 7. Letter to Winston Churchill (1941) ; 8. Memorandum to OP-20-G on Naval Enigma (c. 1941) ; Artificial Intelligence ; 9. Lecture on the Automatic Computing Machine (1947) ; 10. Intelligent Machinery (1948) ; 11. Computing Machinery and Intelligence (1950) ; 12. Intelligent Machinery, A Heretical Theory (c. 1951) ; 13. Can Digital Computers Think? ; 14. Can Automatic Calculating Machines Be Said to Think? (1952) ; Artificial Life ; 15. The Chemical Basis of Morphogenesis (1952) ; 16. Chess (1953) ; 17. Solvable and Unsolvable Problems (1954)

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Book SynopsisTechniques for reasoning about actions an change in the physical world is one of the classical research topics in artificial intelligence. It is motivated by the needs of autonomous robots which must be able to anticipate their immediate future, to plan their future actions, and to figure out what went wrong in case of problems. It is also motivated by the needs of common-sense reasoning for example in the understanding of natural language texts, where processes and change over time is an ever-present phenomenon. The same set of problems arises in several other areas of computing such as in conceptual modelling for data bases, and in the rapidly growing area of intelligent control.The present research monograph presents and uses a novel methodology for reasoning about actions and change. Traditional research contributions have proposed new logic variants which were only supported by episodical examples. THe work described here uses a systematic methodology for identifying the exact ranTrade ReviewThe book presents deep and serious insight into inert and inhabited dynamical systems (IDS). * Zentralblatt fur Mathematik *Those working in nonmonotonic reasoning, planning, temporal logic, reasoning about actions and change, and related areas will find this book worth reading. * Computing Reviews *Table of ContentsInert and inhabited dynamical systems ; Inference operations on scenario descriptions ; Underlying semantics for IDS worlds ; Elementary feature logic and meta-logical concepts ; Lexical-domain object-feature logic ; Temporal feature logic for discrete time domains ; Chronicle completion in k-IA ; Intended models for chronicles in k-IA ; Entailment methods for k-IA using DFL-1 ; Duration constraints ; Entailment methods for k-OA using occlusion ; Composite actions ; Upper applicability bounds and assessment of soundness ; Future directions ; Terms index ; Notation ; References to related work

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Book SynopsisThe field of artificial intelligence (AI) has grown dramatically in recent decades from niche expert systems to the current myriad of deep machine learning applications that include personal assistants, natural-language interfaces, and medical, financial, and traffic management systems. This boom in AI engineering masks the fact that all current AI systems are based on two fundamental ideas: mathematics (logic and statistics, from the 19th century), and a grossly simplified understanding of biology (mainly neurons, as understood in 1943). This book explores other fundamental ideas that have the potential to make AI more anthropomorphic. Most books on AI are technical and do not consider the humanities. Most books in the humanities treat technology in a similar manner. AI and Human Thought and Emotion, however is about AI, how academics, researchers, scientists, and practitioners came to think about AI the way they do, and how they can think about it afresh with a humanTable of Contents0. Introduction. PART I. Intelligence in Computers, Humans and Societies. 1. Artificial Intelligence as It Stands. 2. Current Critiques of Artificial Intelligence. 3. Human Thinking: Anxiety and Pretence. 4. Prevailing Prejudices Pertaining to Artificial Intelligence. PART II. An Alternative: AI, Subjectivity and Introspection. 5. Central Argument Outline. Main Term: "Anthropic AI." 7. Main Term: "Introspection." 8. Introspection is Ligitimate. 9. Introspection is Likely to Be Profitable. PART III Getting Practical. 10. Details and How to Use Introspection for Artificial Intelligence. 11. Examples. 12. A More Sophisticated Example. 13. Summary, Consequences, Conclusion.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisThe Routledge Social Science Handbook of AI is a landmark volume providing students and teachers with a comprehensive and accessible guide to the major topics and trends of research in the social sciences of artificial intelligence (AI), as well as surveying how the digital revolution from supercomputers and social media to advanced automation and robotics is transforming society, culture, politics and economy. The Handbook provides representative coverage of the full range of social science engagements with the AI revolution, from employment and jobs to education and new digital skills to automated technologies of military warfare and the future of ethics. The reference work is introduced by editor Anthony Elliott, who addresses the question of relationship of  social sciences to artificial intelligence, and who surveys various convergences and divergences between contemporary social theory and the digital revolution.The Handbook is excepTrade Review"As expected from a handbook with the goal of summarizing current debates, questions are posed and controversies noted more often than answers are offered in this collection of 21 essays. However, surveying so many different angles on artificial intelligence (AI) allows some insight-inducing themes to emerge. AI and machine learning (ML) are everywhere, from a cellphone's virtual assistant to tech support chatbots, including in the machines that decipher handwritten addresses for the US Postal Service. Many AI systems are assisted by small armies of humans who fill in when the software fails. Such technology remains invisible to most people yet shapes their understandings of the world and themselves. People think and categorize, work, play, and govern themselves differently because of AI—they adopt algorithmic thinking, see new value in inferential reasoning because of big data, and treat anthropomorphic robots like persons. Sometimes these changes are obvious or can be articulated, but some seem to influence human experience and expectations of the world itself, as in the debatable but widespread idea that minds are computers, and computers are (so far fairly limited) minds. Many will use this book, though specialists are likely to be most interested. Summing Up: Highly recommended. Lower- and upper-division undergraduates. Graduate students and faculty. General readers."Matthew J. Moore, Professor of Political Science, California Polytechnic State University, San Luis Obispo, USATable of ContentsPart I: Social Science Approaches to Artificial Intelligence 1. The Complex Systems of AI: Recent Trajectories of Social Theory 2. Geographies of AI 3. Artificial Intelligence and Psychology 4. AI in the Age of Technoscience: On the Rise of Data-Driven AI and its Epistem-Ontological Foundations 5. Work, Employment and Unemployment After AI 6. Affects After AI: Sociological Perspectives on Artificial Companionship 7. Anthropology, AI and Robotics 8. Ethics of Artificial Intelligence 9. Human-Machine Interaction and Design Methods Part II: Fields of Artificial Intelligence in Social Science Research 10. Management and Organisation in the Age of AI 11. Ambivalent Places of Politics: The Social Construction of Certainties in Automated Mobilities and Artificial Intelligence 12. Smart Environments 13. Models of Law and Regulation for AI 14. Artificial Intelligence and Cyber-security 15. Lethal Autonomous Weapons Systems 16. AI and Worldviews in the Age of Computational Power 17. Technogenarians: Ageing and Robotic Care 18. Big Data and Data Analytics 19. AI, Culture Industries and Entertainment 20. AI, Robotics, Medicine and Health Sciences 21. AI, Smart Borders and Migration

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Book SynopsisThis edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence and at an unprecedented rate. Powerful digital crime mapping tools are being used to identify crime hotspots in real-time, as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to experience (or commit) crime, places likely to host it, and variables associated with its solvability. Facial and vehicle recognition cameras are locating criminals as they move, while police services develop strategies informed by machine learning and other kinds of predictive analytics. Many of these innovations are features of modern policing in the UK, the US and Australia, among other jurisdictions.AI promises to reduce unnecessary labour, speed up various forms of police work, encourage police forces to more efficiently apportion their resources, and enable police officers to prevent crime and protect people from a variety of future harms. However, the promises of predictive and AI technologies and innovations do not always match reality. They often have significant weaknesses, come at a considerable cost and require challenging trade- off s to be made. Focusing on the UK, the US and Australia, this book explores themes of choice architecture, decision- making, human rights, accountability and the rule of law, as well as future uses of AI and predictive technologies in various policing contexts. The text contributes to ongoing debates on the benefits and biases of predictive algorithms, big data sets, machine learning systems, and broader policing strategies and challenges.Written in a clear and direct style, this book will appeal to students and scholars of policing, criminology, crime science, sociology, computer science, cognitive psychology and all those interested in the emergence of AI as a feature of contemporary policing. Table of ContentsIntroduction 1.The Future of AI in Policing: Exploring the sociotechnical imaginaries Part One: Bias and Big Data 2.Predictive Policing through Risk Assessment 3.Policing, AI and Choice Architecture 4.What Big Data in Health Care Can Teach Us About Predictive Policing 5.Artificial Intelligence and Online Extremism: Challenges and Opportunities 6.Predictive Policing and Criminal Law Part Two: Police Accountability and Human Rights 7.Accountability and indeterminacy in predictive policing 8.Machine learning predictive algorithms and the policing of future crimes: governance and oversight 9.'Algorithmic impropriety' in UK policing contexts: A developing narrative? 10.Big Data Policing: Governing the Machines? 11.Decision-Making: Using technology to enhance learning in police officers Conclusion

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisWe are in the early stages of the next big platform shift in healthcare computing. Fueled by Artificial Intelligence (AI) and the Cloud, this shift is already transforming the way health and medical services are provided.As the industry transitions from static digital repositories to intelligent systems, there will be winners and losers in the race to innovate and automate the provision of services. Critical to success will be the role leaders play in shaping the use of AI to be less artificial and more intelligent in support of improving processes to deliver care and keep people healthy and productive across all care settings.This book defines key technical, process, people, and ethical issues that need to be understood and addressed in successfully planning and executing an enterprise-wide AI plan. It provides clinical and business leaders with a framework for moving organizations from the aspiration to execution of intelligent systems to improve clinical, operationaTrade Review"Practical, insightful and a page turning read. Tom makes short work of the much-hyped topic of artificial intelligence, drawing on decades of experience to find the pattern between a series of case studies. This no nonsense book is a must read primer for those working in the healthcare system seeking to understand the impact of AI for the sector, or those entrepreneurial thinkers looking for the business opportunities this revolution will create."- Dr. Simon Kos, CEO, Next Practices and former Chief Medical Officer, Microsoft"Tom Lawry’s new book, "Artificial Intelligence in Healthcare - A Leader’s Guide to Winning in the Age of Intelligent Healthcare Systems" will be landing on real and virtual bookshelves in hospitals and health systems at a most opportune time. After a long incubation period and much hand-wringing about potential downsides of AI, the field is now ready for prime time in healthcare. Leaders in every aspect of the industry will find practical guidance in this concise and well-written book. That includes a clear and comprehensive breakdown of the many different technologies that comprise AI as well as a discussion of the myriad opportunities to leverage AI to improve not only clinical outcomes but workflows and processes in the many support functions that make a healthcare system work. The book will definitely help them cut through the morass of incomplete and sometimes conflicting information on AI and position themselves to lead the Intelligent Health Systems of the future…systems that will be powered by AI. I highly recommend this book."- Dr. Patricia Salber, CEO, The Doctor Weighs In"There is perhaps nothing is more profound than the impact AI will have on how healthcare is delivered in the future. In his new book, Artificial Intelligence in Health - A Leader’s Guide to Winning in the New Age of Intelligent Systems, Tom shares wisdom that comes from a lifetime of experience as a business leader and technologist in the health industry. He has traveled the globe gathering insights from some of the world’s most gifted experts. He examines how AI is being used in healthcare today, as well as where this powerful tech will take us in the future. There are both challenges and opportunities for AI in healthcare and Tom carefully examines both sides of the equation." - Dr. Bill Crounse, CIO, CMIO, Senior Director, Worldwide Heath, Microsoft Corporation (retired)."Mr Lawry’s book is a sensitively written analysis of the opportunities to use AI in healthcare whilst avoiding the pitfalls and the hype. He takes the reader through the key concepts and applies them to healthcare as only an expert in the three fields of health, technology and analytics can. Many people will be familiar with the background to the AI in health story and will struggle to know where to start and end their work. If you want to get the benefits of AI, then this book is for you. It will tell you want good looks like and how to navigate ethics, build a workforce, create new operating models and apply disruptive thinking. I loved it."- Paul Henderson, Regional Director EMIS Health, (UK)"Practical, insightful and a page turning read. Tom makes short work of the much-hyped topic of artificial intelligence, drawing on decades of experience to find the pattern between a series of case studies. This no nonsense book is a must read primer for those working in the healthcare system seeking to understand the impact of AI for the sector, or those entrepreneurial thinkers looking for the business opportunities this revolution will create."- Dr. Simon Kos, CEO, Next Practices and former Chief Medical Officer, Microsoft"Tom Lawry’s new book, "Artificial Intelligence in Healthcare - A Leader’s Guide to Winning in the Age of Intelligent Healthcare Systems" will be landing on real and virtual bookshelves in hospitals and health systems at a most opportune time. After a long incubation period and much hand-wringing about potential downsides of AI, the field is now ready for prime time in healthcare. Leaders in every aspect of the industry will find practical guidance in this concise and well-written book. That includes a clear and comprehensive breakdown of the many different technologies that comprise AI as well as a discussion of the myriad opportunities to leverage AI to improve not only clinical outcomes but workflows and processes in the many support functions that make a healthcare system work. The book will definitely help them cut through the morass of incomplete and sometimes conflicting information on AI and position themselves to lead the Intelligent Health Systems of the future…systems that will be powered by AI. I highly recommend this book."- Dr. Patricia Salber, CEO, The Doctor Weighs In"There is perhaps nothing is more profound than the impact AI will have on how healthcare is delivered in the future. In his new book, Artificial Intelligence in Health - A Leader’s Guide to Winning in the New Age of Intelligent Systems, Tom shares wisdom that comes from a lifetime of experience as a business leader and technologist in the health industry. He has traveled the globe gathering insights from some of the world’s most gifted experts. He examines how AI is being used in healthcare today, as well as where this powerful tech will take us in the future. There are both challenges and opportunities for AI in healthcare and Tom carefully examines both sides of the equation." - Dr. Bill Crounse, CIO, CMIO, Senior Director, Worldwide Heath, Microsoft Corporation (retired)."Mr Lawry’s book is a sensitively written analysis of the opportunities to use AI in healthcare whilst avoiding the pitfalls and the hype. He takes the reader through the key concepts and applies them to healthcare as only an expert in the three fields of health, technology and analytics can. Many people will be familiar with the background to the AI in health story and will struggle to know where to start and end their work. If you want to get the benefits of AI, then this book is for you. It will tell you want good looks like and how to navigate ethics, build a workforce, create new operating models and apply disruptive thinking. I loved it."- Paul Henderson, Regional Director EMIS Health, (UK)Table of ContentsPreface and Acknowledgements. Author. 1 The Future Is Not What It Used to Be. 2 The Rise of the Intelligent Health Consumer. 3 AI Is One Thing and Many Things. 4 From Gods to Geeks – A Brief History of AI. 5 Do Submarines Swim? 6 Creating Value Today with AI. 7 The Leadership Imperative. 8 When AI Meets HR. 9 Engaging Your Clinicians. 10 Making Radiologists More Rad. 11 Understanding and Managing the Ethics of AI. 12 The Role of the Cloud in AI. 13 Manage Your Data Estate Like Your Finances. 14 The Importance of Intelligent HIT Vendors. 15 From Aspiration to Execution. 16 The Road Ahead for AI. Index.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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