Artificial intelligence (AI) Books

Book SynopsisThe book features original papers from International Conference on Computational Methods and Data Engineering (ICCMDE 2021), organized by School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India, during November 25–26, 2021. The book covers innovative and cutting-edge work of researchers, developers, and practitioners from academia and industry working in the area of advanced computing.Table of ContentsChapter 1. A Graph Based Extractive Assamese Text Summarization.- Chapter 2. Internet of Things (IoT) for Secure Data and M2M Communications.- Chapter 3. Deveelopment of Walking Assistants for Visually Challenged Person.- Chapter 4. A PERFORMANCE STUDY OF PREDICTION MODELS FOR DIABETES PREDICTION USING MACHINE LEARNING.- Chapter 5. Orthopantomogram (OPG) Image Analysis using Bounding Box Algorithm.- Chapter 6. Design and Analysis of an Improved Artificial Neural Network Controller for the Energy Efficiency Enhancement of Wind Power Plant.- Chapter 7. Detection of Renal Calculi using Convolutional Neural Networks.- Chapter 8. Question Answering and Text Generation using BERT and GPT-2 Model.- Chapter 9. Improved Lenet Model for Flower Classification Using GPU Computing.- Chapter 10. Distributed computing over the Next Generation Mobile Communication Network (NGMCN) is an emerging technology.- Chapter 11. The ELF Tribe: Redefining Primary Education in a Post-COVID Era.- Chapter 12. An Extreme Machine Learning Mdel for Evaluating Landslide Hazard Zonation in Nilgiris District, Causative Factors and Risk Assessment using Earth Observation Techniques.- Chapter 13. Analysis of Cross-Site Scripting Vulnerabilities in Various Day-to-Day Web Applications.- Chapter 14. Detecting Cyberbullying with text classification using 1DCNN and Glove Embeddings.- Chapter 15. A Bayesian Network Based Software Requirement Complexity Prediction Model.

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Book SynopsisThis book presents high-quality research papers presented at 2nd International Conference on Smart Data Intelligence (ICSMDI 2022) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during April 2022. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, healthcare, information, and communication applications.Table of ContentsDetection and Analysis of Sentiments on Twitter Using Machine Learning Algorithm.- Malware Attack Detection on IoT Devices Using Machine Learning.- BeSafe: IoT Based Safety Band.- Stock Market Analysis and forecasting with Statistical and Deep Learning Methods.- The paradigm shift in Higher Education from traditional learning to digitalisation.- Designing a socially intelligent system by cognitive modeling of human-environment interaction.- Web-Based recycle Waste Management for Ecommerce.

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Book SynopsisThis textbook is intended to be used by the senior engineering undergraduate and the graduate student. Nowadays, the finite element method has become one of the most widely used techniques in all the engineering fields, including aerospace engineering, mechanical engineering, biomedical engineering, etc. To unveil the FE technique, the textbook provides a detailed description of the finite element method, starting from the most important basic theoretical basis, e.g., the Galerkin method, the variational principle, followed by the detailed description of the various types of finite elements, including the bar, the beam, the triangular, the rectangular, the 3D elements. The primary aim of the textbook is to provide a comprehensive description of the FE solutions using different types of elements. Therefore, the properties of different elements and the solution discrepancies caused by using different elements are highlighted in the book. Thus, the textbook is very helpful for engineers to understand the behaviours of different types of elements. Additionally, the textbook can help the students and engineers write FE codes based on the theories presented in the book. Furthermore, the textbook can serve as the basis for some advanced computational mechanics courses, such as the nonlinear finite element method. Table of ContentsChapter 1 Introduction.- Chapter 2 Theoretical basis of the finite element method.- Chapter 3 Finite element analysis using bar element.- Chapter 4 Finite element analysis using beam element.- Chapter 5 Finite element analysis using triangular element.- Chapter 6 Finite element analysis using rectangular element.- Chapter 7 Finite element analysis using 3D elements.- Chapter 8 High order Lagrange element.

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Book SynopsisThis book presents theory and applications of recently introduced butterfly optimization algorithm (BOA). It also highlights hybridization process in the basic structure of BOA with in-depth analysis of complexity. This book also describes the constraint handling process. The newly introduced variant is implemented and validated on a set of linear and nonlinear real works problems of engineering and pulp and paper industry. The simulated results are compared with most of the basic algorithms. Comparative and nonparametric statistical result analysis illustrates the efficacy of the algorithm. Table of ContentsButterfly Optimization Algorithm.- Differential Butterfly Optimization Algorithm - A hybrid variant.- Application of DBOA in Structural Engineering Design Problems.- Application of DBOA in Pulp & Paper Process Optimization.- Conclusion and Future Directions.

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Book SynopsisThis book covers the latest advances in Cultural Algorithms, their general framework, different variants, hybridized versions with other meta-heuristic and search techniques, and their applications. Cultural Algorithms are meta-heuristic numerical optimization techniques inspired by the bio-cultural evolutionary theory, in which both types of vertical and horizontal learning behaviors are modeled. The book includes well-briefed basics of optimization and theoretical backgrounds of Cultural Algorithms in its initial chapters and then discusses their applications in different branches of science and engineering. It provides detailed mathematical formulations and algorithmic pseudo-codes of hybridized, extended, and multi-population variants of cultural algorithms. The book will serve the research students, fellows, professors, and industry professionals to implement real-time applications of Cultural Algorithms.Table of ContentsIntroduction to Culture.- Introduction to optimization.- Cultural Algorithms (CAs).- Applications of Engineering.

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Book SynopsisThis book presents a collection of high-quality, peer-reviewed research papers from the 7th International Conference on Information System Design and Intelligent Applications (India 2022), held at BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India, from February 25 to 26, 2022. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing and cognitive computing.

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Book SynopsisThis book gathers selected papers presented at the Inventive Communication and Computational Technologies Conference (ICICCT 2022), held on May 12–13, 2022, at Gnanamani College of Technology, Tamil Nadu, India. The book covers the topics such as Internet of Things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.Table of ContentsA Comparitive Study of Employee Attrition Analysis using Machine Learning and Deep Learning Techniques.- Efficient RNS Realization of High Speed Arithmetic Multiplier with Respect to Cryptographic Computation.- An Integrated Terrestrial - Satellite Cellular 5G Network Routing Protocol Using Reinforcement Learning Techniques.- Direct Trust-based GPSR Protocol (DT-GPSR) in VANET.- Combating Challenges in Healthcare using Blockchain.- HIDSC2: Host Based Intrusion Detection System in Cloud Computing.- The Impact of Online Reviews on Download Numbers of Mobile Apps.- Learning System During the Covid-19 in a University.- The Adoption of using the Zoom Application as a Learning Tool to Increase Neuro-Cognitive for Public High School in Jakarta.- Context Aware Voice Recognition System for Car Climate and Infotainment Control.- Study of Identification of Breast Tumor Through DL Technique.- Methods for Assessing Information Security Incidents in the Enterprise and Making Decisions.- Data Analytics for Healthcare Institutions: A Data Warehouse Model Proposal.- The Role of Existing Technology Text to Speech in the Deaf Disabled Communities due to Brain Inflammation.- Performance Analysis of Hybrid Deep Learning Approach for Human Actions Recognition.

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Book SynopsisThis book highlights a collection of high-quality peer-reviewed research papers presented at the 7th International Conference on Information System Design and Intelligent Applications (INDIA 2022), held at BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India, from February 25–26, 2022. It covers a wide range of topics in computer science and information technology, from wireless networks, social networks, wireless sensor networks, information and network security, to web security, Internet of Things, bioinformatics, geoinformatics, and computer networks.Table of ContentsChapter 1. A Novel controller for Multiple-Input Bidirectional DC-DC Power Converter of HESS for DC Microgrid Applications.- Chapter 2. Model Based Automatic Seizure Detection of EEG Signal Analysis by Frequency and Time Domain Methods.- Chapter 3. Performance Assessment of FACTS Devices for Enhancing Stability and Control in Power Systems.- Chapter 4. Filter Bank Multi-Carrier Modulation with OQAM based Sparse Channel Estimation.- Chapter 5. A Cascaded H-Bridge MLI Fed Motor By Using Fuzzy-MPPT PV System.- Chapter 6. EMG-based Analysis of Rehabilitation Exercises for Diastasis Recti Abdominis.- Chapter 7. Secure Cloud Auditability For Virtual Machines by Adaptive Characterization Using Machine Learning methods.- Chapter 8. Design of TPG BIST using various LFSR for Low Power and Low Area.- Chapter 9. Device-To-Device Data Transmission Over Sound Waves using FSK/BPSK/QPSK.- Chapter 10. Performance Evaluation of Radar Backscatter of S-Shaped Duct with Conventional Intake Duct.- Chapter 11. A Novel Flash Type Time-to-Digital Converters (TDC) Using GDI Technique.- Chapter 12. A Symbiotic Model for Accurate Weather Forecasting.- Chapter 13. FPGA Design of Area Efficient, Superfast Motion Estimation using JAYA Optimization based Block Matching Algorithm.- Chapter 14. Motor Vehicle Alert System in On- Campus Environments: Omniscient Vehicle Sensor.- Chapter 15. Backup& Restore Strategies for Medical Image Database using NoSQL.​

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Book SynopsisThis book provides a comprehensive reference for both academia and industry on the fundamentals, technology details, and applications of Advanced Driver-Assistance Systems (ADAS) and autonomous driving, an emerging and rapidly growing area. The book written by experts covers the most recent research results and industry progress in the following areas: ADAS system design and test methodologies, advanced materials, modern automotive technologies, artificial intelligence, reliability concerns, and failure analysis in ADAS. Numerous images, tables, and didactic schematics are included throughout. This essential book equips readers with an in-depth understanding of all aspects of ADAS, providing insights into key areas for future research and development. • Provides comprehensive coverage of the state-of-the-art in ADAS • Covers advanced materials, deep learning, quality and reliability concerns, and fault isolation and failure analysis • Discusses ADAS system design and test methodologies, novel automotive technologies • Features contributions from both academic and industry authors, for a complete view of this important technologyTable of ContentsChapter 1 - Introduction.- Chapter 2 - Basics and Applications of AI in ADAS and Autonomous Vehicles.- Chapter 3 - Computing Technology in Autonomous Vehicle.- Chapter 4 - Overview of Packaging Technologies and Cooling Solutions in ADAS market.- Chapter 5 - Flash Memory and NAND.- Chapter 6 – Interconnect.- Chapter 7 - Cameras in Advanced Driver-Assistance Systems and Autonomous Driving Vehicles.- Chapter 8 - Lidar technology.- Chapter 9 - Radar Technology.- Chapter 10 - Electrochemical Power Systems for Advanced Driver-Assistant Vehicles.- Chapter 11 - In-Vehicle Display Technology.- Chapter 12 - Disk drive for data center storage.- Chapter 13 - Role and responsibility of hardware reliability engineer.- Chapter 14 - Failure Analysis in Advanced Driver Assistance Systems.- Chapter 15 - Corrosion mechanisms of copper and gold ball bonds in semiconductor packages.

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Book SynopsisThis book constitutes the refereed proceedings of the 17th Chinese Conference on Image and Graphics Technologies and Applications, IGTA 2022, held in Beijing, China, during April 23–24, 2022.The 25 full papers included in this book were carefully reviewed and selected from 77 submissions. They were organized in topical sections as follows: image processing and enhancement techniques; machine vision and 3D reconstruction; image/Video big data analysis and understanding; computer graphics; visualization and visual analysis; applications of image and graphics.Table of ContentsImage processing and enhancement techniques.- Multi-Resolution Parallel Aggregation Network for Single Image Deraining.- Multi-scale Bézier filter based infrared and visual image fusion.- Towards Neural Video Compression: A Rate Distortion Modeling Perspective.- A Fast Line and Ellipse Detection on High Resolution Images.- Quality Assurance and Verification of GFDM Satellite Imagery.- Machine vision and 3D reconstruction.- BSIHKS of 3D point cloud model and model matching: bi-temporal scaling invariant heat kernel signature.- A review of solutions to stereo correspondence challenges.- Low Overlapping Plant Point Cloud Registration and Splicing Method Based on FPFH.- Integration of Depth Normal Consistency and Depth Map Refinement for MVS Reconstruction.- Image/Video big data analysis and understanding.- Adaptive Registration for Multi-type Remote Sensing Images via Dynamic Feature Selection.- Deform-CAM: Self-Attention Based on Deformable Convolution for Weakly Supervised Semantic Segmentation.- Density-NMS: Cell Detection and Classification in Microscopy images.- Face Detection in Distorted Images Based onImage Restoration and Meta-learning.- Person Re-identification using Multi-branch Cooperative Network.- Cross-domain object detection through Image-Category features joint alignment.- Detection of abnormal crowd behavior based on ViBE and Optical flow methods.- Generating Lymphoma ultrasound image description with Transformer model.- Computer graphics.- Accelerated Photon Mapping for Homogeneous Participating Media Based on Octree.- Visualization and visual analysis.- A Survey of Literature Analysis Methods based on Representation Learning.- Applications of image and graphics.- A MobileNet SSDLite Model with Improved FPN for Forest Fire Detection.- Applications of Photogrammetry and Remote Sensing Technologies in Tianwen-1 Mission.- MRI Brain Tumor Classification Based on EfficientNet with Non-rigid Transformations.- Design and Implementation of a Digital Star Map Simulation Module.- Design and Implementation of The Search System Based on The Airborne Multi-mode Imaging Cloud Platform.- Method for Imaging Quality Evaluation of Onboard Camera of Image-guided Projectile.- Stroke Based Painting with 3D Perception.

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Book SynopsisThe goal of this textbook is to equip readers with as structured knowledge of soft robotics as possible. Seeking to overcome the limitations of conventional robots by making them more flexible, gentle and adaptable, soft robotics has become one of the most active fields over the last decade. Soft robotics is also highly interdisciplinary, bringing together robotics, computer science, material science, biology, etc. After the introduction, the content is divided into three parts: Design of Soft Robots; Soft Materials; and Autonomous Soft Robots. Part I addresses soft mechanisms, biological mechanisms, and soft manipulation & locomotion. In Part II, the basics of polymer, biological materials, flexible & stretchable sensors, and soft actuators are discussed from a materials science standpoint. In turn, Part III focuses on modeling & control of continuum bodies, material intelligence, and information processing using soft body dynamics. In addition, the latest research results and cutting-edge research are highlighted throughout the book. Written by a team of researchers from highly diverse fields, the work offers a valuable textbook or technical guide for all students, engineers and researchers who are interested in soft robotics.Table of ContentsChapter 1: Introduction.- Chapter 2: Soft Mechanisms.- Chapter 3: Biological Mechanisms.- Chapter 4: Soft Manipulation and Locomotion.- Chapter 5: Basics of Polymer.- Chapter 6: Biological Material.- Chapter 7: Flexible and Stretchable Sensors.- Chapter 8: Soft Actuators.- Chapter 9: Modeling and Control of Continuum Body.- Chapter 10: Material Intelligence.- Chapter 11: Information Processing using Soft Body Dynamics.

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Book SynopsisChapter 1: Introduction.- Chapter 2: Soft Mechanisms.- Chapter 3: Biological Mechanisms.- Chapter 4: Soft Manipulation and Locomotion.- Chapter 5: Basics of Polymer.- Chapter 6: Biological Material.- Chapter 7: Flexible and Stretchable Sensors.- Chapter 8: Soft Actuators.- Chapter 9:   Modeling and Control of Continuum Body.- Chapter 10: Material Intelligence.- Chapter 11: Information Processing using Soft Body Dynamics.

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Book SynopsisThis book presents the proceedings of the International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2022. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators, and technologists to discuss, debate, and promote research and technology in the upcoming areas of computing, information, communication, and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.Table of ContentsTeaching Learning-Based Optimization with Learning Enthusiasm Mechanism for Optimal Control of PV Inverters in Utility Grids for Techno-Economic Goals.- Machine Learning Framework for Prediction of Parkinson’s Disease in Cloud Environment.- A Comparative Analysis to Measure Scholastic Success of Students Using Data Science Methods.- Gesture-Controlled Speech Assist Device for the Verbally Disabled.- Highly Classified with Two Factor Authentication Encrypted Secured Mail.- Efficacious Intrusion Detection on Cloud Using Improved BES and HYBRID SKINET-EKNN.

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Book SynopsisThis open access book invites readers to learn how to develop artificial intelligence (AI)-based algorithms to perform their research in oceanography. Various examples are exhibited to guide details of how to feed the big ocean data into the AI models to analyze and achieve optimized results. The number of scholars engaged in AI oceanography research will increase exponentially in the next decade. Therefore, this book will serve as a benchmark providing insights for scholars and graduate students interested in oceanography, computer science, and remote sensing. Table of ContentsTheory and technology of artificial intelligence for oceanography.- Satellite data-driven internal wave forecast model based on machine learning techniques.- Detection and analysis of marine macroalgae based on artificial intelligence.- Tropical cyclone intensity estimation from geostationary satellite imagery.- Reconstructing marine environmental data based on deep learning.- Detecting oceanic processes from space-borne sar imagery using machine learning.- Deep convolutional neural networks-based coastal inundation mapping for un-defined least developed countries: taking madagascar and mozambique as examples.- Ai- based mesoscale eddy study.- Classifying sea ice types from sar images based on deep fully convolutional networks.- Detecting ships and extracting ship's size from SAR images based on deep learning.- Quality control of ocean temperature and salinity data based on machine learning technology.- automatic extraction of internal wave signature from multiple satellite sensors based on deep convolutional neural networks.- Automatic extraction of waterlines from large-scale tidal flats on SAR images and applications based on deep convolutional neural networks.- Forecast of tropical instability waves using deep learning.- Sea surface height prediction based on artificial intelligence.

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Book SynopsisThis book comprises the proceedings of the International Conference on Intelligent Systems and Applications (ICISA 2022). The contents of this volume focus on novel and modified artificial intelligence and machine learning-based methods and their applications in robotics, pharmaceutics, banking & finance, agriculture, food processing, crime prevention, smart homes, transportation, traffic control, and wildlife conservation, etc. This volume will prove a valuable resource for those in academia and industry. Table of ContentsIntelligent Systems in Agriculture.- Intelligent Systems in Internet of Things and Cloud Computing.- Intelligent Systems in Image Processing and Deep Learning.- Cyber Security and Data Security.- Intelligent Systems for Social Welfare I.- Intelligent Systems for Social Media.

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Book SynopsisThis book includes high-quality research papers presented at 21st International Conference on Informatics in Economy (IE 2022), which is held in Bucharest, Romania, during May 2022. This book covers research results in business informatics and related computer science topics, such as IoT, mobile-embedded and multimedia solutions, e-society, enterprise and business solutions, databases and big data, artificial intelligence, data mining and machine learning, quantitative economics.Table of ContentsMicro-Services as Key Enabler of a Cloud-Native Architecture.- The Importance of Security and Safety in a Smart City.- Cyber Range Technology Stack Review.- IOT Security Challenges for Smart Homes.- An Overview of Security Issues in Smart Contracts on the Blockchain.- Agile Business Systems Development Paradigms – Technological and Human Resource Perspectives.- Identification of Qualitative Weak Signals Coming from Asset Management Working Practices to Feed Forward-Looking Investment Pensions Funds Models.- Digital Competences in the Public Sector – Challenges for Universities.- Transport System in Bucharest.- General Characteristics of the Assisted E-Learning System in Computer Science.- E-Learning in Romania: An Overview on Software Solutions from Private Initiatives.

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Book SynopsisThis book includes six chapters aiming to introduce global pipeline inspection and health monitoring technologies comprehensively. The pipeline is the blood vessel of the energy system and a vital lifeline project. After many years of service, the pipeline gradually enters the aging stage. Pipeline inspection and health monitoring can effectively reduce the failure and accident risks of the pipeline, and it is conducive to integrity management. Through case analysis, practitioners can have a deeper understanding of the application of related technologies.Table of ContentsIntroduction.- Pipeline Inspection Technology.- Pipeline Health Monitoring Technology Based on Hardware.- Health Monitoring Technology Based on Signal Processing.- Health Monitoring Technology Based on Artificial Intelligence.- Data Preprocessing Technology in Pipeline Health Monitoring.- Heterogeneous Data Preprocessing and Alignment Technology in Pipeline Health Monitoring.- Application and Cases of Pipeline Inspection Technology.- Application and Cases of Pipeline Health Monitoring Technology.

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Book SynopsisThis book features high-quality, peer-reviewed research papers presented at the Fifth International Conference on Smart Technologies in Data Science and Communication (SMARTDSC 2022), held Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India, on 16 – 17 June 2022. It includes innovative and novel contributions in the areas of data analytics, communication and soft computing. Table of ContentsA Graph based model for Discovering Host-based hook Attacks.- E-Health Care Patient Information Retrieval and Monitoring System Using SVM.- Number Plate Recognition using Optical Character Recognition (OCA) and Connected Component Analysis (CCA).- Cartoonify an Image with Open cv using Python.- Web Design as an Important Factor in the Success of a Website.- Earlier Selection of Routes for Data Transfer in both Wired and Wireless Networks.

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Book SynopsisThis book features a collection of high-quality, peer-reviewed research papers presented at first ‘World Conference on Intelligent and 3-D Technologies’ (WCI3DT 2022), held in China during May 24–26, 2022. The book provides an opportunity for the researchers and academia as well as practitioners from industry to publish their ideas and recent research development work on all aspects of 3D imaging technologies and artificial intelligence, their applications, and other related areas. The book presents ideas and the works of scientists, engineers, educators, and students from all over the world from institutions and industries.

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Book SynopsisThe book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 – 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.Table of ContentsSIFT Application Separates Motion Characteristics and Identifies Symbols on Tires.- Localization and classification of thoracic abnormalities from chest radiographs using deep ensemble model.- Comparative Study on Different Approaches for Understanding the Privacy Policies.- A framework for the development of Intrusion detection system using Deep Learning.- A Self Explainable Face Anti-Spoofing Solution based on Depth-Estimation.- A Naïve Approach for Mutation Detection using Color Encodings and String Matching Techniques.- Particulate Matter Concentration Estimation from Images Based on Convolution Neural Network.- Brain Tumor Prediction from MRI Images using an ensemble model based on EfficientNet-B2, B4, and ResNet34 architectures.- Automatic Abnormality Detection in Musculoskeletal Radiographs using Ensemble of Pre-trained Networks.- Ablation study of Indian Automatic Vehicle Number Plate Recognition model trained over Synthetic dataset.- An Approach of Hate Speech Identification on Twitter Corpus.- A Fuzzy C-Means Based Clustering Protocol to Improve QoS of Multi Sink WSNs.- A Descriptive Analysis of Reddit Comments using Data Analytics Approach.- Streamflow forecasting using novel ANFIS-GWO approach.- A Novel COVID-19 Based Optimization Algorithm (C-19BOA) for Multimodal Optimization Processes.- A Survey on Medical Image Analysis Using Deep Learning.- Improving English-Assamese Neural Machine Translation using Transliteration-based Approach.- Prediction of Air Quality using Machine Learning.- Inter domain text classification: A hybrid approach.- Sentimental Analysis of Twitter Users’ Text Using Machine Learning.

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Book SynopsisThe book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 – 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.Table of ContentsAgriBlockchain: Agriculture supply chain using blockchain.- A Triple Band High Gain Antenna Using Metamaterial.- Hybrid Energy Systems Integrated Power System Imbalance Cost Calculation using Moth Swam Algorithm.- Lightweight Privacy Preserving Framework at Edge Layer in IoT.- Concept drift aware analysis of learning engagement during Covid 19 pandemic using adaptive windowing.- MPA Optimized Model Predictive Controller for Optimal Control of an AVR system.- Optimal Power Flow Considering Uncertainty of Renewable Energy Sources Using Meta-Heuristic Algorithm.- Remote Sensing Image Fusion Based on PCA and Wavelets.- Physical Layer Security in MIMO Relay Based Cognitive Radio Network.- Weighted Low Rank and Sparse Matrix Decomposition Models for Separating Background and Foreground in Dynamic MRI.- A Novel Approach For Bug Triaging Using TOPSIS.- Energy Efficient Resource Allocation in Cognitive Radio Networks.- A Hybrid Feature Selection Framework for Breast Cancer Prediction using Mutual Information and AdaBoost-RFE.- Internet of Things enabled Irrigation System in Precision Agriculture.- Medical Internet of Things and Data Analytics for Post-Covid Care: An Analysis.- ECG Biometric Recognition by Convolutional Neural Networks with Transfer Learning using Random Forest Approach.- Design and Analysis of a Metamaterial Based Butterworth Microstrip Filter.- A Review of Financial Fraud Detection in E-Commerce using Machine Learning.

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Book SynopsisThis book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2022) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.Table of ContentsAI’s Role and Application in Education: Systematic Review.- Digital Service Quality from Elderly Generation Perspective to Improve Online Business and Economy: A Theoretical Framework.- Green Software Product: The Empirical Study on Social Factor and Measurements.- A Systematic Review and Future Perspective of Mental Illness Detection using Artificial Intelligence on Multimodal Digital Media.- E–Service Quality: A Literature Review and Research Trends.- Posture Control of Collaborative Robotic Manipulator Based on Gesture Sensors.- Redefining the museum experiences in the virtual age.- Evaluation of single-stage, two-stage, and anchor-free Object Recognition methods for UAV detection.- An Experimental Study of Machine Learning Algorithms for Predicting Startup Success.

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Book SynopsisThis book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2022) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.Table of ContentsHow Predictive Software Engineering Creates Effective Business Solutions Through Custom Software Development.- Roadcast: A Vehicle Incident Management System and Forecasting Implementing Moving Average.- Beak-A-Boo: An Augmented Reality Mobile Application About Endangered Bird Species in the Philippines.- E-commerce Platform with Recommender System and Android Mobile Application.- Geoparks as sites for conservation, education, and development: a bibliometric review.- IoT Smart Irrigation System for Precision Agriculture.- Value Proposal: A Participatory Brand Construction Model.- OCD: On-Demand Ordering Food through Online Crowdsourcing.- Augmented reality in e-commerce: the new era of online shopping.

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Book SynopsisThis book gathers a collection of selected works and new research results of scholars and graduate students presented at the 6th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2022) via the Internet, during July 22-24 2022, hosted and organized by Sojo University in conjunction with other three universities and Beijing Huaxia Rongzhi Blockchain Technology Institute. The focus of the book is interdisciplinary in nature and includes research on all aspects of artificial intelligence and virtual reality, from fundamental development to the applied system. The book covers topics such as system techniques, performance, and implementation; content creation and modelling; cognitive aspects, perception, user behaviour; AI technologies; interactions, interactive and responsive environments; AI/VR applications and case studies.Table of ContentsPart 1: Invited Paper.- Chapter 1. Paraconsistency and Paracompleteness in AI: Review Paper.- Part 2: Regular Papers.- Chapter 2. Decision Support Multi-agent Modeling and Simulation of Aeronautic Marine Oil Spill Response.- Chapter 3. Transferring Dense Object Detection Models to Event-based Data.- Chapter 4. Diagnosing Parkinson’s Disease Based on Voice Recordings: Comparative Study Using Machine Learning Techniques.- Chapter 5. Elements of Continuous Reassessment and Uncertainty Self-Awareness: A Narrow Implementation for Face and Facial Expression Recognition.- Chapter 6. Topic-aware Networks for Answer Selection.- Chapter 7. Design and Implementation of Multi_Scene Immersive Ancient Style Interaction System Based on Unreal Engine Platform.- Chapter 8. Auxiliary Figure Presentation Associated with Sweating on a Viewer’s Hand in order to Reduce VR Sickness.- Chapter 9. Design and Implementation of Immersive Display Interactive System Based on New Virtual Reality.- Chapter 10. 360-Degree Virtual Reality Videos in EFL Teaching: Student Experiences.- Chapter 11. Research on Chinese Garden Art Appreciation Based on Virtual Technology.- Chapter 12. Medical-Network (Med-Net): A Neural Network for Breast Cancer Segmentation in Ultrasound Image.- Chapter 13. Auxiliary Squat Training Method Based on Object Tracking.- Chapter 14. Study on the Visualization Modeling of Aviation Emergency Rescue System Based on Systems Engineering.- Chapter 15. An AI-based System Offering Automatic DR-enhanced AR for Indoor Scenes.- Chapter 16. Extending Mirror Therapy into Mixed Reality – Design and Implementation of the application PhantomAR to alleviate phantom limb pain in upper limb amputees.- Chapter 17. An Analysis of Trends and Problems of Information Technology Application Research in China's Accounting Field based on CiteSpace.- Chapter 18. Augmented Reality Framework and Application for Aviation Emergency Rescue Based on Multi-Agent and Service.

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Book SynopsisThis book contains select papers presented at the International Conference on Applied Mathematics and Computational Intelligence (ICAMCI-2020), held at the National Institute of Technology Agartala, Tripura, India, from 19–20 March 2020. It discusses the most recent breakthroughs in intelligent techniques such as fuzzy logic, neural networks, optimization algorithms, and their application in the development of intelligent information systems by using applied mathematics. The book also explains how these systems will be used in domains such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and complicated problems in optimization. The book publishes new developments and advances in various areas of type-3 fuzzy, intuitionistic fuzzy, computational mathematics, block chain, creak analysis, supply chain, soft computing, fuzzy systems, hybrid intelligent systems, thermos-elasticity, etc. The book is targeted to researchers, scientists, professors, and students of mathematics, computer science, applied science and engineering, interested in the theory and applications of intelligent systems in real-world applications. It provides young researchers and students with new directions for their future study by exchanging fresh thoughts and finding new problems.Table of ContentsA. Bajpai and P. Kumar Sharma, Free Vibration Analysis of Generalized Thermoelastic Homogeneous Isotropic plate with Two Temperatures.- Premkumar P.S., Nadaraja Pillai S., Arunvinthan S., and S. Teja, Analysis of Heat Transfer Coefficients and Pressure Drops in Surface Condenser with Different Baffle Spacing.- U.M. Pirzada, S. Rama Mohan, Fuzzy Form of Euler Method to Solve Fuzzy Differential Equations and its Application.- K. Bhattacharya and S. Kumar De, Intuitionistic Fuzzy Metrics and its Application.- H Singh, Complex Structure of Number in Language Processing.- A. George, S. Rukhande, and D. Pillai, Digital Newspaper using Augmented Reality.- Dimplekumar N. Chalishajar and R. Ramesh, Nonlocal Fuzzy Solutions for Abstract Second-Order Differential Equations.- J. Grover and S. Singhal, Performance Assessment of Routing Protocols in Cognitive Radio Vehicular ad-hoc Networks.- T. Jalal and I. A. Malik, Infinite System of Second-Order Differential Equations in Banach Space c0.- B. HemaSundar Raju, Fourth-Order Computations of Mixed Convection Heat Transfer Past a Flat Plate for Liquid Metals in Elliptical Cylindrical Coordinates.- D. Dey and R. Borah, Steady and Unsteady Solutions of Free Convective Micropolar Fluid Flow Near the Lower Stagnation Point of a Solid Sphere.- I. Agrawal, T. Sharma and N. K. Verma, Low-Light Image Restoration using Dehazing based Inverted Illumination Map Enhancement.- A. Venkatesh and R. Gomathi Bhavani, Mathematical Modelling of Probability and Profit of Single Zero Roulette to Enhance Understanding of Bets.- M. Mohan and L. Pattabiraman, Application of Blockchain in Food Safety.- T. Sen, Non-linear Computational Crack Analysis of Flexural Deficit Carbon and Glass FRP Wrapped Beams.- R. Mitra, S. Gope, A. Goswami, P. K. Tiwari, Economic Benefit Analysis by Integration of Different Comparative Methods for FACTS Devices.- A. K. Mondal, S. Pareek, A. Bera and B. Sarkar, Optimal Pricing with Servicing Effort in Two Remanufacturing Scenarios of a Closed-Loop Supply Chain.- F. Valdez, O. Castillo, and P. Melin, A Review on Type-2 Fuzzy Systems in Robotics and Prospects for Type-3 Fuzzy.- O. Castillo, P. Melin and Juan R. Castro, A Proposal for Interval Type-3 Fuzzy Sets Mathematical Definitions.- Z. Jankova, P. Dostal, D. K. Jana, S. Roy, S. Bhattacharjee and B. Bej, Optimization of Solubilization of Palm Oil Mill Effluent (POME) by using Interval Imprecise Data Set.

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Book SynopsisThis book presents a bio-inspired hierarchical control scheme step by step toward developing limbless robots capable of 3D locomotion, fast reflex response, as well as sophisticated reaction to environmental stimuli. This interdisciplinary book introduces how to combine biological concept with locomotion control of limbless robots. The special features of the book include limbless locomotion classification and control, design of biological locomotor and the integration of sensory information into the locomotor using artificial intelligence methods, and on-site demonstrations of limbless locomotion in different scenarios. The book is suitable for readers with engineering background, especially for researchers focused on bio-inspired robots.Table of ContentsPreface.- Limbless locomotion introduction (classification and the corresponding locomotive features in nature).- Limbless locomotion control in robotic domain.- Design of a lamprey spinal central pattern generator (CPG).- Limbless locomotion under the lamprey spinal CPG.- Sensory reflex mechanism.- Adaptive limbless locomotion.- Research challenges​.

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Book SynopsisThis book presents selected research papers on current developments in the fields of soft computing and signal processing from the Fifth International Conference on Soft Computing and Signal Processing (ICSCSP 2022). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.Table of ContentsChapter 1. Microservice Architecture Observability Tool Analysis.- Chapter 2. Decentralized payment architecture for e-commerce and utility transactions with Government verified identities.- Chapter 3. Detection of Phishing Website using Intelligent Machine Learning Classifiers.- Chapter 4. Bidirectional Gated Recurrent Unit (BiGRU) based Bitcoin Price Prediction by News Sentiment Analysis.- Chapter 5. How AI Algorithms are being used in Applications.- Chapter 6. A Framework for Identifying Theft Detection using Multiple-instance Learning.- Chapter 7. An Efficient Reversible Data Hiding Based on Prediction Error Expansion.- Chapter 8. Deriving Insights from COVID-19.- Chapter 9. Smoke Detection in Forest Using Deep Learning.- Chapter 10. Pneumothorax Segmentation using Feature Pyramid Network and MobileNet Encoder through Radiography Images.- Chapter 11. Visual Learning with Dynamic Recall.- Chapter 12. Machine learning for drug discovery using ag-glomerative hierarchical clustering.- Chapter 13. Automated Photomontage Generation with Neural Style Transfer.- Chapter 14. Machine Learning Model Development Using Computational Neurology.- Chapter 15. Graph Theory based user profile extraction and community detection in Linkedin- A study. etc.

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Book SynopsisThis book gathers selected high-quality research papers presented at International Conference on Paradigms of Communication, Computing and Data Sciences (PCCDS 2022), held at Malaviya National Institute of Technology Jaipur, India, during 05 – 07 July 2022. It discusses high-quality and cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.

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Book SynopsisThis open access book serves as a compact source of information on sine cosine algorithm (SCA) and a foundation for developing and advancing SCA and its applications. SCA is an easy, user-friendly, and strong candidate in the field of metaheuristics algorithms. Despite being a relatively new metaheuristic algorithm, it has achieved widespread acceptance among researchers due to its easy implementation and robust optimization capabilities. Its effectiveness and advantages have been demonstrated in various applications ranging from machine learning, engineering design, and wireless sensor network to environmental modeling. The book provides a comprehensive account of the SCA, including details of the underlying ideas, the modified versions, various applications, and a working MATLAB code for the basic SCA.Table of ContentsIntroduction.- Sine Cosine Algorithm.- Sine Cosine Algorithm for Multi-Objective Optimization.- Sine Cosine Algorithm for Discrete Optimization Problems.- Advancements in the Sine Cosine Algorithm.- Conclusion and Further Research Directions.

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Book SynopsisThis book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and health care, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2022), held at University Institute of Technology, Himachal Pradesh University Shimla, Himachal Pradesh, India. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field.Table of ContentsChapter 1. A CNN-based Approach for Facial Emotion Detection.- Chapter 2. Implementation of Artificial Neural Network for Demanufacturing Operation in the Rail Industry.- Chapter 3. Diversified Recommendation Generation using Graph Convolution Neural Network.- Chapter 4. Brain Tumor detection with GLCM feature extraction and hybrid classification approach.- Chapter 5. Optimization of an inventory model with selling price and stock sensitive demand along with trade credit policy.- Chapter 6. A new family of generalized Euler-Genocchi polynomials associated with Hermite polynomials.- Chapter 7. 6G-Enabled Internet of Medical Things.- Chapter 8. An Inductively Degenerated LNA for ISM Applications: Design & Performance Comparison.- Chapter 9. Prostate Cancer Risk Analysis Using Artificial Neural Network.- Chapter 10. On two bivariate kinds of (p; q)-Euler polynomials.- Chapter 11. Different stages of Watermelon Diseases Detection Using optimized CNN.- Chapter 12. Machine Learning: An Analytical Approach for Pattern Detection in Diabetes.- Chapter 13. A Dynamic Weighted Federated Learning for Android Malware Classification.- Chapter 14. Entropy measure for the linguistic q-rung orthopair fuzzy set.- Chapter 15. Empirical Analysis of Unsupervised Link Prediction Algorithms in Wighted Networks.

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Book SynopsisThis book presents part of the iM3F 2020 proceedings from the Mechatronics track. It highlights key challenges and recent trends in mechatronics engineering and technology that are non-trivial in the age of Industry 4.0. It discusses traditional as well as modern solutions that are employed in the multitude spectra of mechatronics-based applications. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.Table of ContentsHybrid Manta Ray Foraging – Particle Swarm Algorithm for PD Control Optimization of an Inverted Pendulum.- Multi-Objective Particle Swarm Optimization with Alternate Learning Strategies.- Self-Directed Mobile Robot Path Finding in Static Indoor Environment by Explicit Group Modified AOR Iteration.- Position and Swing Angle Control of Nonlinear Gantry Crane System.

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Book SynopsisThe Role of AI And Machine Learning in VFX: Revolutionizing Automation and Realism.- Signal Processing and Data Enhancement in IoT-Driven Healthcare Systems Using Deep Learning.- Enhancing Satellite Telemetry Monitoring with Machine Learning: A Comprehensive Study of Anomaly Detection Techniques.- CDPS transfer to GCP a regular backup monitoring automation in cloud environment.- Arrhythmia Classification: Deep Learning and Machine Learning approach.- Hybrid Model for Enhanced Player Behavior Analysis and Grey Area Identification.- Leveraging Deep Convolutional Generative Adversarial Networks for Synthetic Devanagari Handwriting Generation.- Implementation of AI in Sustainable Investment Practices for a Greener Future.- Enhancing CAPTCHA Security with Devanagari Script Recognition Using KNN.- On the Adaptive Control of Thought- Rational (ACT-R) in AI Perspective: A study of Cognitive Architecture.- Leveraging AI for Interactive 3D Visualizations and Immersive Simulations of Sustainable Practices in Urban Planning.- Vittles Recipe Recommender: A Gourmet Food Guide with Leftovers.- Harnessing Artificial Intelligence and Machine Learning in English Language Teaching: Trends and Applications.

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Book SynopsisMachine learning for career growth and forecasting employee advancement.- Dependency analysis and forecasting using neural networks.- Analysis of multivariate data using machine learning techniques such as self-organizing Kohonen maps, decision tree and neural network.- Survey and Review on AI for Personalized Learning.- Evaluation of the effectiveness of supervised learning methods for the classification task.

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Book SynopsisIntroduction.- Basics.- Language generation model.- Image generation model.

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Book SynopsisChapter 1: Benchmarking One Class Classification in Banking, Insurance, and Cyber Security.- Chapter 2: Image Texture Data Blocks Produced With 2D-Cellular Automata Linear Rules.- Chapter 3: Optimizing Classification Performance in Imbalanced Datasets.- Chapter 4: Benefits and Limitations of using Data-Driven Approach to Develop Inclusivity Networks for Young Disabled People: A case study of Assemble by the National Youth Theatre.- Chapter 5: On Classification, Evaluation and Utilization of MCDM Based Feature Selection Techniques.- Chapter 6: Investigating Fine-tuning of Large Language Models for Text Summarisation.- Chapter 7: Forecasting Urban Growth: Applying Prophet Model to Landsat NDBI Data for Sustainable City Development.- Chapter 8: Prediction of Health Hazards caused due to Excess Use of steroids Consumption on Liver, Heart and Lung of Hu- man Body".- Chapter 9: Integrating an Information System Successful with Task Technology Fit: SME's AIS Implementation.- Chapter 10: Tracking Hospital-Acquired Infections (HAIs). etc.

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Book SynopsisTOPSIS-based Integrated Energy Service Station Siting Research and Application.- Design and Application of Multi-objective Optimization Algorithm Based on Neural Network and Genetic Algorithm.- Differential Privacy Adversarial Learning with Diffusion Model for the Generation of Privacy-Protected Text Representations.- Application of Mathematical Algorithms in Big Data Analysis Techniques.- Development Status and Prospect Prediction of Robots for Live Work in Distribution Network.- Distributed Computing Methods Based on Data Weaving.- Financial Forecasting and Decision-Making Models Based on Intelligent Algorithms and Big Data.- The Integration of Artificial Intelligence and Computer Vision Technologies in Virtual Reality and Augmented Reality Applications.- Comparative Study of Machine Learning Using Word2vec Method.- Research on Mechatronics Modeling and Co-simulation Method Based on Joint Inventory Management.- Research on Image Processing Algorithm of Packaging Design Based on Machine Vision.- Optimization Design of Blockchain Technology for Secure Protection of Integrated Media PGC on Mobile Terminals.- Application of Computer Artificial Intelligence in Online Education Platforms on the Internet.- A Study on the Application of Photovoltaic Building Integration in Logistics Center Warehouses.- Multi-Regional Environmental and Economic Scheduling Of Power System Based On Particle Swarm Algorithm.- Research on Smart Transportation Data Security Management Based On Blockchain.- Design Personalized Nutrition Supplement Recommendation System using Machine Learning Technology.- Big Data Natural Language Processing Algorithm to Implement Green Brand Reputation Management System.- Research on the Application of Scintillation Liquid Treatment Technology Based on Artificial Intelligence in Waste Water Treatment.- The Implementation of Computer Analysis Algorithm in BPA Transient Program.- Intelligent Network Security Protection Technology Based on Big Data and Machine Learning.- Optimization of Intelligent Manufacturing Systems Based on Intelligent Control Algorithms and Big Data Analysis.- The Design of Virtual 3D Interactive System for Multifunctional Remote Office All-In-One Machine.- Research on Water Ecological Governance Based on Visual Comprehensive Supervision Platform.- Construction of Standard Cost System for Operations and ERP Management System Based on Data Acquisition Technology.- Considering Power Factors in Macroeconomic Forecasting Based on the Gated Recurrent Unit (GRU) Model.- Hierarchical Cooperative Scheduling of RMG, Quay Crane and AGV.- Intelligent Translation Recognition and Error Correction System Based On Machine Intelligence and Data Mining Technology.- Application of Random Forest Algorithm in Financial Intelligence Analysis.- Intelligent Scheduling and Path Planning of Internet of Things Technology in Logistics Transportation.- Quantum Computing Algorithms and Real-world Applications.- Construction of Blended English Intelligent Classroom Based on Virtual Information Platform.- Power Load Forecasting and Intelligent Scheduling on Big Data.- Credit Risk Assessment of Commercial Bank Customers Based on Machine Learning.- Design of Java Programming One-time Pad Encryption System Based on DES Algorithm.- Technology of Intelligent Detection and Recognition for Wireless Communication Signals.- Research and Design of a Financial Intelligent Risk Control Platform Based on Big Data Analysis and Deep Machine Learning.- Building of Construction Project Cost Prediction Model Based on BP Algorithm under the Background of Big Data.- A Study on Determining the Mathematical Model of Compressor Energy Consumption Based on Least Squares Fitting of Compressor Performance Curves.- Shipping Intelligent Management Decision System Based on Bayesian Network Model.- Food Quality Traceability System for Internet of Things under Big Data Algorithm.- Exploration on the Effectiveness of Industrial Investment Efficiency under Support Vector Machine Model.- Research on Intelligent Recommendation Algorithms for Online Learning Resources Based on Recommender Systems.- Interactive Genetic Algorithm In Indoor Layout Automation Design System.- Distribution Network Fault Diagnosis and Auxiliary Decision-making in View of Intelligent Perception and Big Data.- Collaborative Mechanism Between Smart Blockchain and Supply Chain Economic and Trade Operations.- Parametric Design System for Ecological Landscape Spatial Structure under Interactive Genetic Algorithm.- Delaunay Algorithm in Quality and Safety Monitoring of Geological Exploration and Drilling Engineering.- Intrusion Detection Technology Research Based On Machine Learning and Big Data Technology.- Automotive Information Security Assessment and Risk Management Methods.- Application of Intelligent Algorithm in Computer Programming Optimization.- Reliability Study of Active Distribution Microgrids with Distributed Energy Resources.- Research on Real-Time Motion Control Strategy of Robotic Arm Based on Deep Learning.- Research on Landscape Image Optimization System Based on Machine Vision Technology.- Research on Digital Preservation of Architectural Decoration Patterns Based on Virtual Reality Technology.- Research on Imbalanced Datasets Classification based on Neural Network and Oversampling Methods.- Research on the Application of Computer Software CAD-3D in Interior Design.- Application of Data Mining Technology Based on Support Vector Machine in Information Security.- Design and Implementation of Web-based Mechanical Fault Repair System.- Public Service Management Based on Blockchain and Multi-Information Collaborative System.- Analysis of Data Security Management Based On Neural Network and Text Mining Under the Background of Big Data.- Reliability Optimization of Economic Information System Based on Genetic Algorithm.- A Data Analysis Algorithm Combining Topic Analysis Model With T-Test.- Visualization of Binary Classification Data and Algorithm for Remote Dynamic Loading of Data.- Fault Diagnosis and Intelligent Prediction Based on Deep Learning in Power System.- Joint scheduling of eMBB and URLLC traffic in Space-Air-Ground Integrated Networks.- Research on the Design Auxiliary System of Museum Exhibition Space Based On Artificial Intelligence.- Construction of Cost Evaluation Model Based on Fuzzy Comprehensive Evaluation.- Optimized Application of ADS-B Technology in Aircraft Collision Avoidance System.- Key Technologies for Disaster Prevention and Mitigation Based on Intelligent Monitoring of Building Structures.- Application Case of New Material 3T Integrated Management Technology.- Application of PROMETHEE-II Method in Location Selection of Photovoltaic Power Station.- Application of Big Data Technology in Mathematical Modeling Based on Neural Network Algorithm.- Research on Personalized Recommendation Algorithm of Learning Resources Based on Knowledge Graph.- Optimization of Agricultural Product Logistics Vehicle Scheduling Path Based on Ant Colony Algorithm.- Enterprise Technology Innovation Evaluation System Based on Data Envelopment Analysis.- Interactive Electronic Technical Manual System Based on Computer Aided Technology.- Research on Application of Frequency Conversion Debugging Technology in Electric Drive System.- Application and Development of Intelligent System in Mechanical Design and Optimization.- Research on Low-resolution Face Image Recognition based on Convolutional Neural Network.

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Book SynopsisChapter 1: A Novel Dual-Optimization Paradigm for Fuzzy Logic Controller Design and Refinement Using the WalrusTunaWhale Optimization Algorithm.- Chapter 2: Unleashing the Power of AI in Vertical Farming from Soil to Sky: Innovations in Urban Vertical Agriculture.- Chapter 3: EfficientNet Evolution: Exploring the Optimal Architecture for Lung Carcinoma Nodule Identification.- Chapter 4: Sleep Powered Stress Prediction Through Voting Classifier.- Chapter 5: Triple-Stage 3D-CNN-Based Violence Detection System with Enhanced Security.- Chapter 6: Paddy Crop Disease Classification through Thermal and Visual Image Analysis.- Chapter 7: Customer Churn Prediction using GraphSAGE model with Degree based Sampling and Max pooling Aggregation.- Chapter 8: Intensified Feature Engineering-Based Composite Model for Predicting Lung Diseases.- Chapter 9: Enhanced Feature Extraction based Optimized DL Model for Detection of Kidney Disease.- Chapter 10: Design and Development of a Controller PCB for a Dual BLDC-based Differential Drive Rover. etc.

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Book Synopsis.- Robot Perception and Machine Learning..- Sparse representation of robotic machining deformation based on key points determination..- A Cross-media Localization Method for Amphibious Climbing Robot..- YOWOv2: A Stronger yet Efffcient Multi-level Detection Framework for Real-time Spatio-temporal Action Detection..- Double Barrier Function Based Mutual Collision Avoidance Motion Planning  Scheme Synthesized by Varying-parameter Neural Network for Redundant Dual Manipulators..- Multi-Scale Topology of Residual Network for Haze Removal..- Multi-task Heterogeneous Framework for Semi-supervised Medical Image Segmentation..- GI-Grasp: Target-Oriented 6DoF Grasping Strategy with Grasp Intuition Based on Vision-Language Models..- S2NeRF: Neural Radiance Fields Training with Sparse Points and Sparse Views..- Person Re-identiffcation with Multi-stage Channel Feature Aggregation..- Semi-Supervised Underwater Object Detection Using Grid Marker-Assisted Image Enhancement..- Modality Mitigation And Diverse Part Awareness for Visible-Infrared Person Re-identiffcation..- Binocular Reconstruction and Monocular 6Dof Pose Estimation for Model Free Robot Grasping..- Mip-NeRF+: Multi-Scale 3D Scene Synthesis..- StereoNeRF: Learning Radiance Fields from Stereo Observation for Driving View Synthesis..- Person Re-Identification Based on Random Occlusion for Local Feature Fusion..- MDLIRE-Net: Semantic Segmentation of Point Clouds Based on Multidimensional Local Information Reencoding..- Trajectory prediction method of flying uneven object based on improved Informer..- Error Propagation Mechanism for the 2.5-D Grid Map Update in LiDAR Gaze Control Applications for Omni-directional Wheeled Robots..- EMFIR: Efficient Dense Magnetic Field Mapping Based on Implicit Representation..- MFap: Multi-view Feature Map for Visual Localization..- Cognitive Intelligence and Security Control for Multi-domain Unmanned Vehicle Systems..- Research on the Method of Trajectory Planning for Unmanned Aerial Vehicles in Complex Terrains Based on Reinforcement Learning..- Research on functional safety-oriented supercapacitor vehicle-mounted low-voltage power supply system for new energy vehicles..- Application of Stroke Extraction and Trajectory Planning in Robotic Calligraphy..- Efficient Autonomous Exploration of Complex Environments Based on the Mobile Robot..- Distributed Formation Coordinated Control of Multiple Unmanned Surface Vehicles Based on Deep Reinforcement Learning..- A Hybrid Control Model for Platoons at Mixed-trafffc Freeways Based on Deep Reinforcement Learning..- Collision-Free Time-Varying Formation Control via Relative Localization..- Design of Human-Machine Collaborative Assembly System based on Reconfigurable Processes..- A Survey on Detecting Foreign Objects on Transmission Lines Based on UAV Images..- Homogeneous Multi-Robot Patrolling Based on Humanoid Formation Configuration..- All-in-one Image Restoration in Adverse Weather Conditions with Spatial-Frequency Domain Information..- Distributed Adaptive Control of Multiple Robots for Cooperative Load Transportation..- Research on Multi UAV Algorithm Based on Evolutionary Reinforcement learning.

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Book Synopsis.- Robot Skill Learning and Transfer..- Utilizing Large Language Models for Robot Skill Reward Shaping in Reinforcement Learning..- Research on Intelligent Dynamic Obstacle Avoidance Strategy for Space Collaborative Robots.- An Adaptive Five-Axis Sweep Scanning Path Planning Method for Variable Curvature Parts..- Prediction of Hand Kinematics in Grasping with Mamba-based Graph Convolutional Networks..- Motion Planing of Powered-Caster Vehicle Based on Gaussian Process..- Enhanced RAMPAGE Framework for mobile manipulator motion planning..- Motion control of single-degree-of-freedom magnetic suspension system based on both position and flux feedback..- Modeling of Human Throwing Motion from Human Demonstration Using a Hidden Markov Model..- Robot-to-Human Object Handovers Based on Hand Key Points Detection..- Learning Fault-Tolerant Quadruped Locomotion with Unknown Motor Failure using Reliability Reward..- Human-Robot Dynamic System: Learning, Modelling and Control..- Identification of Wiener-Hammerstein Model Using Stochastic Variational Bayesian Learning..- Design and Control of Continuous Gait for Humanoid Robots: Jumping, Walking, and Running based on Reinforcement Learning and Adaptive Motion Functions..- Deterministic Learning-based Knowledge Fusion Neural Control for Robot Manipulators with Predefined Performance..- Research on human lower limb gait time series prediction method based on CNN and LSTM..- Adaptive Human-like Gait Planning for Stair Climbing of Lower Limb Exoskeleton Robots..- Improved Data-Weighted Iterative Parameter Identification Method for Accurate Dynamic Modeling of Collaborative Manipulators..- Gaze2Atten: Analyzing Explainable Gaze Dynamics to Monitor Human Attention..- Dynamical Feature Extraction and Pattern Recognition for Mental Workload Level with FNIRS..- A Novel Framework of Motor-Cognitive Human-Robot Interaction Game Design with Skill Level Recognition..- AI-Driven Smart Industrial Systems..- Pose Calibration and Trajectory Adjustment of Robot Based on Monocular Vision..- An Hybrid Elasto-geometrical Calibration Method for Industrial Robot using Only Position Measurement..- Industrial Robot Joint Electromechanical Coupling Modeling and SPMSM Electrical Parameters Identification..- Electroluminescence image-based automated defect detection for solar photovoltaic cells..- ExpertAP: Leveraging Multi-Unit Operational Patterns for Advanced Turbine Anomaly Prediction..- Positioning Error Compensation for Fully-Gear-Driven Robotic Manipulator Based on Visual Calculation..- A Deformation Error Prediction Method for Industrial Robots Based on Error Superposition..- Visual Weld Seam Tracking through Feature-Fused Kernelized Correlation Filters and Generative Adversarial Networks..- Natural Interaction and Coordinated Collaboration of Robots in Dynamic Unstructured Environments..- Coordinated Control for Graceful Motion of a Mobile Manipulator..- Active Target Location and Grasping Based on Language-Vision-Action..- Stereo Visual SLAM System with Road Constrained Based on Graph Optimization..- An MPC-based Control Scheme for an Aircraft Towing and Taxiing System under Uncertainties.

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Book SynopsisSMOTE-Enhanced Machine Learning Techniques for Credit Card Fraud Detection.- Comparative Study of Clustering Algorithms for Customer Segmentation.- Persistence and Fixed Autoregression Models for Time-Series Prediction of Net Asset Value (NAV) of Savings Fund.- Emoji-RoBERTa: A Contextual Emoji Representation for Hate Speech Detection.- Software Bugs Classification using SVM, RF, DT Algorithms.- Ascend.AI - Building Confidence Through Technology: A Technical Exploration of Facial Expression, Tone and Pitch Analysis with Chatbot Guidance.- Transformer Generative AI Model for Enhanced Molecular Property Prediction.- Compaction and Restoration of the S-transform based on N-fold Redundancy.- Deep Learning-based Electric Vehicle Charging Load Prediction: A Comparative Study.- A Comparative Analysis of Quantum Programming Bug Detection Tools.- DWMS-HGR: 1D CNN for Hand Gesture Recognition on Normalized sEMG Signals with Sliding Window.- Secured File-Sharing: Hybrid Encryption and Network Theory for Enhanced Privacy.- Kernel Density Estimation based Clustering for Visual Walking Stick Detection in Human-Robot Coexisting Environments.- Optimizing Battery Efficiency: Design and Implementation of a Fuzzy Logic based Controller for Hybrid Energy Storage System in Electric Vehicles.

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Book Synopsis

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