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      Computational Intelligence in Mechatronics

      Solving Real-World Problems in Electronic Systems Design

      AvMohamed Arezki Mellal

      Häftad, Engelska, 2026

      1 991 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      Computational Intelligence in Mechatronics: Solving Real-World Problems in Electronic Systems Design provides a comprehensive exploration of the diverse applications of computational intelligence in the realm of applied electronics. By compiling cutting-edge research and practical case studies, the book bridges the gap between theory and practice, offering insights into how CI techniques can be effectively utilized to solve real-world problems in electronic systems design, analysis, and optimization. Through a combination of theoretical foundations, algorithmic implementations, and practical examples, readers will gain a deeper understanding of the potential benefits and limitations of CI in various applications within the field of applied electronics.

      From optimizing circuit designs to enhancing signal processing algorithms, CI has demonstrated its efficacy in addressing challenges across diverse domains such as telecommunications, consumer electronics, renewable energy systems, and medical devices. As the demand for intelligent electronic systems continues to grow, understanding and harnessing the potential of computational intelligence becomes imperative for researchers, engineers, and practitioners in the field of applied electronics.

      • Explains the potential of computational intelligence in the field of applied electronics.
      • Combines theoretical foundations, algorithmic implementations, and practical examples
      • Inspires further research, innovation, and collaboration in leveraging computational intelligence to address the evolving challenges and opportunities in applied electronics.

      Produktinformation

      • Utgivningsdatum:2026-08-27
      • Mått:216 x 276 x undefined mm
      • Vikt:450 g
      • Format:Häftad
      • Språk:Engelska
      • Antal sidor:584
      • Förlag:Elsevier Science
      • ISBN:9780443275807

      Utforska kategorier

      • Elektronik och kommunikationer inom Naturvetenskap och teknik
      • Systemvetenskap och AI inom Data och IT
      • Artificiell intelligens inom Data och IT

      Mer om författaren

      Mohamed Arezki Mellal is a Professor at M'Hamed Bougara University of Boumerdes, Algeria. He was ranked among the top 2% of scientists worldwide by Stanford University (single-year 2022) and placed first by the 47th National University Commission of the MESRS for the professorship in Mechanical Engineering in 2022. He served as a visiting scholar at the University of Maryland, USA, and at other universities. He has been an invited keynote speaker at numerous conferences and is an associate editor of Frontiers in Mechanical Engineering (Topic: Mechatronics) an SCIE-indexed journal. His research interests encompass AI techniques for solving engineering problems, including system design and dependability, control, energy management, robotics, and manufacturing.

      Innehållsförteckning

      • 1. Study of an Underwater Vehicle Hybrid Propulsion based on Fuel Cell2. Hybrid Ant Colony Optimization Algorithms for Solving Dynamic Capacitated Vehicle Routing Problem in Kufa-Iraq Waste Collection System3. Model for the Diagnosis and Management of Alzheimer's Disease and Mild Cognitive Impairment4. Neural Network Algorithms for AR-models Identification Reaching Huber-Rao-Cramer Bound Under Quasi-Gaussian Noise5. Design, Development and Control of a Pneumatically Actuated Lower Limb Exoskeleton6. Customized Black Hole Algorithm and Union of White Hole for Solving the Active Power Loss Reduction Problem in Electrical Power Transmission System7. Vision Inspection System for Butterfly Valves8. Adaptive Neural Network-based Resilient Control for Telerobotic Systems with Input Saturation and Time-varying Delays9. A Comprehensive Review and Novel Applications of Hybrid Computational Techniques for Embedded System Optimization10. The Advancement of Robotics in the Mechatronics World and Construction Projects11. Application of Artificial Intelligence in High-Frequency Circuit Design12. Bearing Fault Diagnosis via QPSO Algorithm Under Strong Noise Background and Complex Variable Speed Conditions13. Classification of Gray Zone on PCB Using Bayesian Optimization-Random Forest Method14. Estimation of PID Parameters for Vertical Motion of a Robot Arm Using by GTO-LSTM Method15. Mechatronic Design and Implementation of a Modular Multi-Agent Robotic System with a Coupling Mechanism for Collaborative Object Transportation16. The Role of UAVs in Wildlife Monitoring: A Case Study of Conservation Efforts17. Impact evaluation, modeling, and optimization of machining features of heat-treated and non-heat-treated X40CrMoV51 alloy in PMEDM process by GRA and NSGA II-EAMR algorithms18. Mechatronic System Design And Optimization19. Leveraging Convolutional Neural Networks for Sentiment Analysis on Social Media Content20. A Compact Square Shaped Dielectric Resonator Antenna Used for Early Diagnosis of Breast Tumor21. Aerosol-Induced Visibility Reduction: Mechanisms, Health Impacts, and Enhanced Imaging Techniques22. Artificial Neural Networks in Mechatronics23. Monostatic Radar Based Microwave Imaging of Breast Cancer Detection24. Artificial intelligence Methods for Mechatronics: Enhancing Functionality and Efficiency25. A Review of Soft Pneumatic Actuator Applications in Real-World Engineering Challenges26. Some Aspects of Sensitivity Analysis of Induction Generator for Wind Power Applications27. Study of Methods for Improving the Reliability of Passively Redundant Aircraft Subsystems Taking into Account Tolerances28. Design and Implementation of a Smart Pillbox System: Integrating IoT, Chatbot AI, and Real-Time Mobile Monitoring for Enhanced Healthcare29. Towards Sustainable and Reliable Hybrid Vehicles: Fault Diagnosis of Permanent Magnet Motors Using FEM and Advanced Analysis30. AI-Driven Self-Healing Calibration through Digital Twin Verification and Reinforcement Learning31. Intelligent Remote Actuation and Control Strategies for Electrical Tilt Systems32. Novel Approach on Optimizing MPPT Using IC and PID Controller33. Optimal UAV Design Configuration with Multiple-Choice Components Using PSO and GWO34. Future Trends and Research Directions in Automation of Mechatronic Control Software Engineering35. Machine Learning and Artificial Intelligence on HPC Platforms for Mechanical Design – A Review
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