Recent Advancements in Computational Intelligence

Concepts, Methodologies and Applications (Part 2)

Bazeer Ahamed, Ramkumar Thirunavukarasu, Rajganesh Nagarajan

• Publisher: Bentham Science Publishers
• Year: 2026
• eBook ISBN: 9798898812881
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Recent Advancements in Computational Intelligence: Concepts, Methodologies and Applications (Part 2) explores cutting-edge developments in computational intelligence (CI), a dynamic field at the intersection of artificial intelligence, machine learning, and data science. Emphasising biologically inspired techniques such as neural networks, fuzzy logic, swarm intelligence, and evolutionary algorithms, the book demonstrates how CI solves real-world challenges involving uncertainty, ambiguity, and incomplete information. Aligned with Industry 4.0, it bridges theoretical foundations with practical applications across diverse domains, including healthcare, autonomous systems, cybersecurity, and smart computing.

Structured into thematic sections, the book covers Social Computing, High-Performance Computing, Network Science, Smart Computing, and Intelligent Communications. Key chapters explore deep learning for autonomous vehicles, AI-driven healthcare diagnostics, graph theory for cybersecurity, edge computing in IoT, and reinforcement learning for generative AI. Case studies highlight innovations such as myelin segmentation in pediatric MRI, personalised marketing AI, and secure password generation with multi-factor authentication. Contributions from global experts offer a balanced blend of theoretical rigour and applied research.

Key Features
Comprehensive coverage integrating CI concepts with emerging trends like generative AI and edge computing


Real-world case studies demonstrating CI's transformative potential in industry


An interdisciplinary approach connecting computer science, engineering, and healthcare


Practical methodologies for researchers and implementable strategies for practitioners


Target Readership

Researchers, academics, students and professionals in AI, computer science, and data engineering

Table of contents

• Welcome
• Title
• BENTHAM SCIENCE PUBLISHERS LTD.
• PREFACE
• List of Contributors
• Deep Neural Networks for Autonomous Vehicles: A Review of Advances, Challenges and Future Directions
• Tracking of Cyber Crime and Security Using Graph Theory
• Innovative Computational Intelligence Techniques for Region-Based Myelin Segmentation in Pediatric MRI: A Focus on Ages Zero to Two Years
• MRI-Based Brain Tumour Diagnosis Using Deep Learning
• InclusiVision: Exploring Deep Learning Techniques for Enhanced Audio Description Generation
• The Role of AI in Enhancing Customer Experience through Personalized Marketing
• Harnessing the Power of Artificial Intelligence for Personalized Exercise Mentoring
• An Analysis of Deep Learning and Machine Learning Approaches for Diabetes Mellitus Prediction in Pregnant Women
• Analysis of Chest X-ray Images for Anomaly Prediction Using Deep Learning
• Smart Healthcare System for Disease Forecasting and Analysis
• Ensemble-Based Corn Leaf Disease Classification Using Deep Learning Models
• Real-Time Eye Movement Detection for Vision-Based Interfaces