Advanced Computational Intelligence Techniques for Engineers by Devadas, T. Joshva; Jayakumar, Naveenkumar; Prasanth, N. Narayanan;

Short description:

This book presents a thorough examination of computational intelligence and its significant influence on solving intricate engineering challenges. It covers fundamental theories as well as advanced applications, illustrating how techniques in computational intelligence are transforming engineering practices. 

Long description:

This book presents a thorough examination of computational intelligence and its significant influence on solving intricate engineering challenges. It covers fundamental theories as well as advanced applications, illustrating how techniques in computational intelligence are transforming engineering practices. The book is organized into distinct sections, each concentrating on specific engineering domains in which computational intelligence assumes a critical role. The book

• presents a methodical coverage of computational intelligence principles and techniques, illustrated by examples from various engineering domains,

• emphasizes a problem-solving approach, demonstrating how computational intelligence can be used to tackle complex problems,

• offers use cases and real-world examples to facilitate targeted learning and understanding, and

• includes discussion on ethical considerations, advocating for the responsible use of technology and consideration of societal impacts.

This reference book is for engineers, researchers, and scholars interested in computational intelligence techniques in engineering.

Table of Contents:

Section A:  Computational Intelligence: Healthcare and Biomedical Applications. Chapter 1.  Artificial Intelligence in Healthcare 2. An Extensive Survey of Gene-Centric Approach to Parkinson's Disease Identification 3. Enhancing Autism Prediction using a Hybrid Approach of Neural Networks and Evolutionary Algorithms 4. Advances in Computational and in Silico Tools for Anticancer Drug Discovery and Development Section B: Computational Intelligence: Image and Signal Processing Applications 5. A Comparative Study on Hyperspectral Image Enhancement using Traditional and Deep Learning Methods 6. Emotion Recognition for Images and Audios by Cross-Model with Deep Learning 7. Deepfake Image Detection: A Computational Intelligence Perspective Section C: Computational Intelligence: Environmental and Societal Applications 8. Analysis And Prediction of Soil Fertility using Machine Learning Techniques in North Wollo Zone, Amhara Region In Ethiopia 9. Revolutionizing Student Placement Trends: The Role of Machine Learning Algorithms Section D: Computational Intelligence : Algorithms, Methodologies and Ethics 10. Enhanced Informer Homed Routing Protocol for Homogeneous Wireless Sensor Network 11. AI Controlled Automatic Speed Detector in Vehicle Communication System 12. Predicting Faulty Products with Supervised Classification Models 13. Swarm Intelligence in Smart Manufacturing