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Computational Intelligence in Mechatronics

Solving Real-World Problems in Electronic Systems Design

  • 1st Edition - October 15, 2026
  • Latest edition
  • Editor: Mohamed Arezki Mellal
  • Language: English

Computational Intelligence in Mechatronics: Solving Real-World Problems in Electronic Systems Design provides a comprehensive exploration of the diverse applications of comput… Read more

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Description

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.

Key features

  • 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.

Readership

Researchers and graduate students in computational intelligence and mechatronics

Table of contents

1. Study of an Underwater Vehicle Hybrid Propulsion based on Fuel Cell

2. Hybrid Ant Colony Optimization Algorithms for Solving Dynamic Capacitated Vehicle Routing Problem in Kufa-Iraq Waste Collection System

3. Model for the Diagnosis and Management of Alzheimer's Disease and Mild Cognitive Impairment

4. Neural Network Algorithms for AR-models Identification Reaching Huber-Rao-Cramer Bound Under Quasi-Gaussian Noise

5. Design, Development and Control of a Pneumatically Actuated Lower Limb Exoskeleton

6. Customized Black Hole Algorithm and Union of White Hole for Solving the Active Power Loss Reduction Problem in Electrical Power Transmission System

7. Vision Inspection System for Butterfly Valves

8. Adaptive Neural Network-based Resilient Control for Telerobotic Systems with Input Saturation and Time-varying Delays

9. A Comprehensive Review and Novel Applications of Hybrid Computational Techniques for Embedded System Optimization

10. The Advancement of Robotics in the Mechatronics World and Construction Projects

11. Application of Artificial Intelligence in High-Frequency Circuit Design

12. Bearing Fault Diagnosis via QPSO Algorithm Under Strong Noise Background and Complex Variable Speed Conditions

13. Classification of Gray Zone on PCB Using Bayesian Optimization-Random Forest Method

14. Estimation of PID Parameters for Vertical Motion of a Robot Arm Using by GTO-LSTM Method

15. Mechatronic Design and Implementation of a Modular Multi-Agent Robotic System with a Coupling Mechanism for Collaborative Object Transportation

16. The Role of UAVs in Wildlife Monitoring: A Case Study of Conservation Efforts

17. 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 algorithms

18. Mechatronic System Design And Optimization

19. Leveraging Convolutional Neural Networks for Sentiment Analysis on Social Media Content

20. A Compact Square Shaped Dielectric Resonator Antenna Used for Early Diagnosis of Breast Tumor

21. Aerosol-Induced Visibility Reduction: Mechanisms, Health Impacts, and Enhanced Imaging Techniques

22. Artificial Neural Networks in Mechatronics

23. Monostatic Radar Based Microwave Imaging of Breast Cancer Detection

24. Artificial intelligence Methods for Mechatronics: Enhancing Functionality and Efficiency

25. A Review of Soft Pneumatic Actuator Applications in Real-World Engineering Challenges

26. Some Aspects of Sensitivity Analysis of Induction Generator for Wind Power Applications

27. Study of Methods for Improving the Reliability of Passively Redundant Aircraft Subsystems Taking into Account Tolerances

28. Design and Implementation of a Smart Pillbox System: Integrating IoT, Chatbot AI, and Real-Time Mobile Monitoring for Enhanced Healthcare

29. Towards Sustainable and Reliable Hybrid Vehicles: Fault Diagnosis of Permanent Magnet Motors Using FEM and Advanced Analysis

30. AI-Driven Self-Healing Calibration through Digital Twin Verification and Reinforcement Learning

31. Intelligent Remote Actuation and Control Strategies for Electrical Tilt Systems

32. Novel Approach on Optimizing MPPT Using IC and PID Controller

33. Optimal UAV Design Configuration with Multiple-Choice Components Using PSO and GWO

34. Future Trends and Research Directions in Automation of Mechatronic Control Software Engineering

35. Machine Learning and Artificial Intelligence on HPC Platforms for Mechanical Design – A Review

Product details

  • Edition: 1
  • Latest edition
  • Published: October 15, 2026
  • Language: English

About the editor

MM

Mohamed Arezki Mellal

Prof. Mellal is a Professor at the Department of Mechanical Engineering, Faculty of Technology, M’Hamed Bougara University, Boumerdes, Algeria. He was temporarily associated with Teaching and Research (ATER) at the Department of Industrial Engineering and Maintenance, University Institute of Technology Louis Pasteur, University of Strasbourg, France. He is affiliated to the LMSS Laboratory (Solid Mechanics and Systems Laboratory, M’Hamed Bougara University, Algeria) and was affiliated to the Control, Vision and Robotics team of the ICube Laboratory (The Engineering Science, Computer Science and Imaging Laboratory, University of Strasbourg, France). Prof Mellal has contributed to papers on reliability and cost optimization of fuel cell systems, heat and power dispatch using flower pollination algorithms, and heterogeneous components in pharmaceutical production plants, among many others.
Affiliations and expertise
Université de Boumerdes, Boumerdes, Algeria