Automatic control engineering Books
Springer Verlag, Singapore Soft Computing: Theories and Applications:
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.
£224.99
Springer Verlag, Singapore Recent Trends in Mechatronics Towards Industry
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.
£189.99
Springer Multiobjective Design Optimization of Switched
Book Synopsis
£107.99
Springer Control Strategies for NonMinimum Phase Systems
Book Synopsis
£116.99
Springer Constrained Nonlinear Control Performance and
Book SynopsisChapter 1 Introduction.- Chapter 2 Preliminaries.- Chapter 3 Constrained Control of Euler-Lagrange Systems with Input Saturation Constraint.- Chapter 4 Constrained Control of Nonlinear System with Input Saturation and Tunnel Prescribed Performance Constraints.- Chapter 5 Tunnel Prescribed Control of Nonlinear System for any Initial Conditions.- Chapter 6 Saturation-tolerant Prescribed Control of MIMO Nonlinear Systems.- Chapter 7 Tunnel Prescribed Control of Nonlinear Systems with Communication Constraint.- Chapter 8 Conclusions.
£116.99
Springer Fundamentals and Aerospace Applications of Prescribed Performance Control
Book SynopsisIntroduction.- Preliminary Method of Prescribed Performance Control.- Extended State Observer-based Prescribed Performance Control with Velocity Information Loss.- Adaptive Fault-tolerant Prescribed Performance Control with Actuator Saturation and Faults.- Robust Prescribed Performance Control with External Disturbances.- Event-triggered Prescribed Performance Control with Low-frequency Communication.- Appointed-time Prescribed Performance Control with Guaranteed Convergence.- Cooperative Prescribed Performance Control with Collision Avoidance and Connectivity Assurance.- Reinforcement Learning based Prescribed Performance Control.
£125.99
£116.99
Springer Emerging Electronics and Automation Volume 1
Book SynopsisExamining the Efficiency of CNN GRU Strategy for Handwritten Text Recognition using IAM Dataset.- Minimizing Hardware Dependency and Enhancing Independence for the Visually Impaired and blind people using LLM and Computer Vision.- Query driven Video Summarization via Shot-level Caption Generation.- Prediction of Colon Disease Diagnostic from Wireless Capsule Endoscopic Image Using Supervised Machine Learning.- An Energy Efficient Secure Optimal Secrecy Sum Rate Maximization Mechanism for MIMO-NOMA Uplink Transmission in 6G Networks using a Heuristic Approach.- Taylor-Lie discretization of the continuous-time model of Van der Pol oscillator.- Lyapunov Based Control Design for a Legged Robot.- Ripple Guard Advanced Water Monitoring and Management in Residential Blocks.- Etc.
£224.99
Springer Proceedings of 3rd 2023 International Conference
Book SynopsisChapter 1. Improved Factor Graph Algorithm for Adaptive Weight Function Based on Residual Adjustment.- Chapter 2. Design of Dual-rotor Vehicle Controller Based on Auto Disturbance Rejection.- Chapter 3. SLAM Loopback Detection and Down Sampling Optimization in Unattended Patrol Environment.- Chapter 4. OC-DWA: an improved dynamic window approach for USV online planning considering ocean currents.- Chapter 5. A Lightweight RGB-D Image-Based 3D Object Detector for Mobile Robots.- Chapter 6. Adaptive Control of Path Tracking Based on Improved Pure Pursuit Algorithm.- Chapter 7. LuoJia-Explorer: Unmanned Collaborative Localization and Mapping System.- Chapter 8. An effectiveness evaluation methodology of reconnaissance/strike UAV formation based on OODA.- Chapter 9. Fast Autonomous Exploration with Sparse Topological Graphs in Large-Scale Environments.- Chapter 10. LiDAR-based small-sized obstacles detection for mobile robot, etc.
£189.99
Springer Emerging Electronics and Automation
Book Synopsis
£151.99
Springer Proceedings of 2023 7th Chinese Conference on
Book SynopsisThe topics covered include but are not limited to: reviews and discussions of swarm intelligence, basic theories on swarm intelligence, swarm communication and networking, swarm perception, awareness and location, swarm decision and planning, cooperative control, cooperative guidance, swarm simulation and assessment.
£224.99
Springer Proceedings of the International Conference on
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£179.99
Springer Verlag, Singapore Risk Modeling, Analysis and Control of
Book SynopsisThis book focuses on the risk modeling, analysis and control of multi-energy systems considering cross-sectorial failure propagation. Both models and methods have been addressed with engineering practice. This is accomplished by doing a thorough investigation into the modeling of system physics and reliabilities in both long- and short-term phases. Different models and methods to evaluate the risk of multi-energy systems considering various disturbances, e.g., component failures, load uncertainties and extreme weather, are studied in detail. Furthermore, several risk control strategies for multi-energy systems, such as long-term capacity planning and integrated demand response, are analyzed in this book, which is especially suited for readers interested in system risk management. The book can benefit researchers, engineers, and graduate students in the fields of electrical and electronic engineering, energy engineering, complex network and control engineering, etc.Table of ContentsMulti-energy systems and risk issues.- A Framework for Risk Modeling of Integrated Electricity and Gas Systems Utilizing Universal Generating Function Techniques.- Short-Term Risk Evaluation of Integrated Electricity and Gas Systems Considering Dynamics of Gas Flow.- Risk Evaluation of Integrated Electricity and Gas Systems Considering Cascading Effects.- Definitions and Risk Modelling of Two-Interdependent-Performance Multi-State System and its Application for CHP units.- Operational Risk Assessment of Integrated Electricity and Heating Systems with CHP units.- Operational Risk of Multi-Energy Customers Considering Service-Based Self-Scheduling.- Multi-phase Risk Modelling and Evaluation of Multi-energy Systems under Windstorms.- Long-term Reserve Expansion of Integrated Electricity and Gas Systems for Risk Mitigation.- Operational Risk Assessment of Integrated Electricity and Heating Systems with CHP units.
£104.49
Springer Verlag, Singapore Emerging Electronics and Automation: Select
Book SynopsisThis book presents the select peer-reviewed proceedings of the 2nd International Conference on Emerging Electronics & Automation (E2A) 2022. The proceedings aim to provide the reader with a view of the latest scientific efforts and achievements of the participants in the emerging fields including instrumentation, control, signal processing, communication, and associated computational techniques. It covers diverse fields of electronics, computation, automation, microelectronic technology, nanomaterials, and biomedical engineering applications. This volume will be of interest to those in academia and industry.Table of ContentsA Computational Aspect to Analyse Impact of Nutritional Status on the Development of Cardiovascular Diseases.- Vernacular Language Handwriting Recognition using Deep Learning Techniques.- FPGA Implementation of Efficient Softmax Architecture for Deep Neural Networks.- Multi-stage and multi-objective dynamic optimization-based scheduling of uncertain hybrid renewable energy systems with real-time energy compensation.- Design of Regenerative Snubber Circuit for Motor Drivers.- Clustering based multi-objective stochastic optimization approach in scheduling optimal energy dispatch of multiple energy sources in the presence of uncertainty.- Unfalsified Adaptive Control of a Robotic System.- Semi-Active Control for Seismic Vibration Mitigation of Building System with Magnetorheological Damping Device.- Relative Ageing of Population and Subpopulations in Proportional Reversed Hazard Frailty Models.- Handwritten Word Recognition in English Language.- Digital Image Watermarking Using Integer Wavelet Transform and Singular Value Decomposition.- Effect of Shallow Learning Techniques and Feature Selection for Breast Cancer Detection.- Design and Development of a Optimized Fast Transformation Module (OpFTM) for GAN Accelerator with Computation Efficiency.- A Meta-heuristic Optimized-based Classification Intrusion Detection System for BoT-IoT.- Fusion Spectrogram for Sound Classification Using 2D Convolutional Neural Network.- Design and Implementation of Garbage Detection and Classification Using YOLO-V5.- Simulations towards design of Matching Layer in Acoustic Emission Sensor.- Virtual Impedance Based Advanced Droop Control for Improved Dynamic Power Sharing in Islanded Microgrid.- A Parallel Signal Detector Approach for Detection of Human Activities Using Multiple Seismic Sensors.- Study of Dielectric Characteristics of Forsterite Based Medical Implant.- Performance Evaluation and Assessment of 100kW Grid Tied SPV System in Subtropical Climatic Conditions.- Analysis and Experimental Validation of SPWM and SVPWM Techniques on Two-level Three-phase VSI.- Performance Analysis of Fuzzy Logic with P&O MPPT for Grid Connected Solar PV System under Varying Solar Irradiance.- Switched-Boost-Modified Z-Source Inverter for Renewable Energy Application.- Vibration Energy Harvester using piezoelectric with truncated cone rectangular beam structure for low power applications.
£237.49
Springer Verlag, Singapore Proceedings of the 12th International Conference on Robotics Vision Signal Processing and Power Applications
Book SynopsisThis book presents selected papers from the Proceedings of the International Conference 12th International Conference on Robotics, Vision, Signal Processing, and Power Applications ROVISP 2023, held in Penang, Malaysia, covering topic areas divided into the following tracks: (1) Robotics, Control, Mechatronics, and Automation;
£251.99
Taylor & Francis Ltd Learn Audio Electronics with Arduino Practical Audio Circuits with Arduino Control
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£128.25
Taylor & Francis Learn Audio Electronics with Arduino
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£45.99
Taylor & Francis Ltd Optimization of Trustworthy Biomolecular Quantitative Analysis Using CyberPhysical Microfluidic Platforms
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£104.50
Taylor & Francis Ltd Flapping Wing Vehicles
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£156.75
Taylor & Francis Ltd Aviation Safety and Security
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£105.00
Taylor & Francis Ltd Advanced Optimization for Motion Control Systems
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£82.64
Taylor & Francis Ltd HumanSystems Integration
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£58.89
Taylor & Francis Ltd Blockchain Big Data and Machine Learning Trends and Applications
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£128.25
Taylor & Francis Ltd DomainSpecific Computer Architectures for Emerging Applications
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£100.00
Taylor & Francis Ltd Integration of Services into Workflow Applications 33 Chapman HallCRC Computer and Information Science Series
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£56.99
Taylor & Francis Ltd Research Methodology From Philosophy of Science to Research Design 3 Communications in Cybernetics Systems Science and Engineering
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£58.89
Taylor & Francis Ltd ServiceOriented Distributed Knowledge Discovery
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£56.99
Taylor & Francis Ltd Safety and Human Error in Engineering Systems
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£58.89
Taylor & Francis Ltd Foundations of Predictive Analytics Chapman HallCrc Data Mining and Knowledge Discovery Series
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£56.99
Taylor & Francis Ltd Feedback Control in Systems Biology
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£56.99
Taylor & Francis Ltd Applied Genetic Programming and Machine Learning CRC Press International Series on Computational Intelligence
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£56.99
Taylor & Francis Ltd Introduction to Logistics Engineering
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£58.89
Taylor & Francis Ltd From Plant Data to Process Control
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£56.99
Taylor & Francis Ltd Introduction to Wavelet Transforms
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£99.75
Taylor & Francis Ltd Metaheuristic Computation with MATLAB
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£109.25
Taylor & Francis Ltd Controls and Automation for Facilities Managers Efficient DDC Systems Implementation
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£58.99
Taylor & Francis Ltd Networking and Integration of Facilities Automation Systems
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Taylor & Francis Ltd 3D Rotations
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£78.84
Taylor & Francis Ltd IoT Applications Security Threats and Countermeasures
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£142.50
Taylor & Francis Ltd Convergence of Blockchain AI and IoT
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£89.99
Taylor & Francis Ltd Internet of Energy for Smart Cities
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£128.25
Taylor & Francis Ltd Convergence of Blockchain Technology and EBusiness
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Taylor & Francis Ltd Metaheuristic Computation with MATLAB
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£42.74
Taylor & Francis Ltd TreeBased Methods for Statistical Learning in R
Book SynopsisTree-based Methods for Statistical Learning in R provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary. Building a strong foundation for how individual decision trees work will help readers better understand tree-based ensembles at a deeper level, which lie at the cutting edge of modern statistical and machine learning methodology.The book follows up most ideas and mathematical concepts with code-based examples in the R statistical language; with an emphasis on using as few external packages as possible. For example, users will be exposed to writing their own random forest and gradient tree boosting functions using simple for loops and basic tree fitting software (like rpart and party/partykit), and more. The core chapters also end with a detailed section on relevant softwTrade ReviewTree-based algorithms have been a workhorse for data science teams for decades, but the data science field has lacked an all-encompassing review of trees - and their modern variants like XGBoost - until now. Greenwell has written the ultimate guide for tree-based methods: how they work, their pitfalls, and alternative solutions. He puts it all together in a readable and immediately usable book. You're guaranteed to learn new tips and tricks to help your data science team. -Alex Gutman, Director of Data Science, Author: Becoming a Data Head"Here’s a new title that is a “must have” for any data scientist who uses the R language. It’s a wonderful learning resource for tree-based techniques in statistical learning, one that’s become my go-to text when I find the need to do a deep dive into various ML topic areas for my work."Daniel D. Gutierrez, Editor-in-Chief for insideBIGDATA, USA, insideBIGDATA, February 2023Table of Contents1 Introduction 2 Binary recursive partitioning with CART 3 Conditional inference trees 4 "The hitchhiker’s GUIDE to modern decision trees" 5 Ensemble algorithms 6 Peeking inside the “black box”: post-hoc interpretability 7 Random forests 8 Gradient boosting machines
£80.74
Taylor & Francis Ltd Convergence of Blockchain AI and IoT
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£142.50
Taylor & Francis Ltd Artificial Intelligence in Radiation Oncology and Biomedical Physics
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£137.75
Taylor & Francis Ltd Supervised Machine Learning
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£45.99
Taylor & Francis Ltd Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection
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£147.25
