Research Advances in Intelligent Computing
Volume 3
1st Edition
Published on 21. May 2026
464 pages
978-1-040-61768-7 (ISBN)
Description
As computers and intelligent machines evolve at an unprecedented pace, the quest to replicate human intelligence in software and systems has become a defining challenge of our time. Research Advances in Intelligent Computing: Volume 3 explores this dynamic field, where artificial intelligence (AI) and computational models converge to create systems capable of learning, reasoning, and problem solving. Drawing inspiration from human cognition, intelligent computing (IC) integrates AI techniques such as machine learning, neural networks, deep learning, evolutionary algorithms, and swarm intelligence to build adaptive, efficient, and autonomous systems. These technologies are now at the heart of innovations across disciplines-from robotics and natural language processing to agriculture, medicine, and economics. This book presents a comprehensive view of the latest advancements in IC, offering both foundational knowledge and practical insights. It is designed to serve as a valuable resource for students, researchers, and professionals seeking to understand and apply IC techniques in real-world scenarios.
This book:
* Showcases recent, impactful applications of IC across diverse domains, supported by detailed case studies.
* Offers deep insights into the latest research developments and outlines promising areas for future exploration in IC.
* Combines theoretical foundations with algorithmic, simulation-based, and implementation-oriented research to provide a holistic understanding of IC systems.
* Balances foundational theory for beginners with practical simulations and real-life implementations for intermediate and advanced readers.
This book:
* Showcases recent, impactful applications of IC across diverse domains, supported by detailed case studies.
* Offers deep insights into the latest research developments and outlines promising areas for future exploration in IC.
* Combines theoretical foundations with algorithmic, simulation-based, and implementation-oriented research to provide a holistic understanding of IC systems.
* Balances foundational theory for beginners with practical simulations and real-life implementations for intermediate and advanced readers.
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Product notice
Reflowable
Illustrations
76 Tables, black and white; 199 Line drawings, black and white; 53 Halftones, black and white; 252 Illustrations, black and white
File size
23,59 MB
ISBN-13
978-1-040-61768-7 (9781040617687)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
05/2026
1st Edition
CRC Press
€185.50
Shipment within 15-20 days
Persons
Anshul Verma received his M.Tech. and Ph.D. degrees in Computer Science and Engineering from ABV-Indian Institute of Information Technology and Management (IIITM), Gwalior, India. He pursued his postdoctoral research at the Indian Institute of Technology (IIT) Kharagpur, India. He is currently serving as an Assistant Professor in the Department of Computer Science, Institute of Science, Banaras Hindu University (BHU), Varanasi, India, with over 10 years of academic and research experience. Prior to joining BHU, he was associated with the Department of Computer Science and Engineering at Motilal Nehru National Institute of Technology (MNNIT) Allahabad and the National Institute of Technology (NIT) Jamshedpur as a faculty member. His research interests span Cloud Computing, Distributed Systems, Mobile Ad-hoc Networks, and Formal Verification. He has successfully organized four editions of the International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC) as General Chair and Convener since 2021. He has published extensively in renowned journals, books, and conferences. He is currently leading three externally funded and three institutionally funded research projects as Principal Investigator/Co-Principal Investigator. He also contributes actively to the academic publishing community, serving as an Associate Editor of the Journal of Scientific Research of the Banaras Hindu University and as an Editorial Board Member of Scientific Reports of Springer.
Pradeepika Verma received her Ph.D. degree in Computer Science and Engineering from the Indian Institute of Technology (ISM) Dhanbad, India. She has received M.Tech in Computer Science and Engineering from Banasthali University, Rajasthan, India. Currently, she is working as a Faculty Fellow in Technical Innovation Hub at Indian Institute of Technology, Patna, India. She has worked as a Post-Doctoral Fellow in Department of Computer Science and Engineering at Indian Institute of Technology (BHU), Varanasi, India. She has also worked as an Assistant Professor in the Department of Computer Science and Engineering at Pranveer Singh Institute of Technology, Kanpur, India, and as a Faculty Member in the Department of Computer Application at the Institute of Engineering and Technology, Lucknow, India. Her current research interests include Natural Language Processing, Optimization Approaches, Artificial Intelligence, Cloud Computing, and Distributed Systems.
Pradeepika Verma received her Ph.D. degree in Computer Science and Engineering from the Indian Institute of Technology (ISM) Dhanbad, India. She has received M.Tech in Computer Science and Engineering from Banasthali University, Rajasthan, India. Currently, she is working as a Faculty Fellow in Technical Innovation Hub at Indian Institute of Technology, Patna, India. She has worked as a Post-Doctoral Fellow in Department of Computer Science and Engineering at Indian Institute of Technology (BHU), Varanasi, India. She has also worked as an Assistant Professor in the Department of Computer Science and Engineering at Pranveer Singh Institute of Technology, Kanpur, India, and as a Faculty Member in the Department of Computer Application at the Institute of Engineering and Technology, Lucknow, India. Her current research interests include Natural Language Processing, Optimization Approaches, Artificial Intelligence, Cloud Computing, and Distributed Systems.
Content
1. A Review on Global Land Use/Land Cover Change Analysis Using Digital Image Processing, 2. Reduction of Two-Dimensional Data for Speeding Up Convex Hull Computation, 3. Enhancing Brain Tumor Detection with an Ensemble Model, 4. Optical Character Recognition-Based Intelligent Grading System for Handwritten Text, 5. Quantum-Inspired Neural Networks: Bridging Quantum Computing and Deep Learning for Next-Generation AI Systems, 6. Deep Learning-Based Approach for Robust Image Authentication, 7. AI-Driven Autonomous Cyber Threat Intelligence (CTI) Curation and Lifecycle Management, 8. Robust Brain Tumor Classification Using Convolutional Neural Networks for Enhanced Diagnostics, 9. Real-Time Feedback for Teachers Using Multi-Modal Emotion Detection in Classroom Teaching, 10. Enhanced Approach for Chronic Disease Diagnosis and Prediction Using Ensemble Deep Learning, 11. Empowering Industry 5.0 with Large Language Models for Phishing Defense, 12. AI-Generated Text Detection: A Hybrid CNN-BiLSTM and BERT-Based Large Language Model Approach, 13. Resource-Aware Arabic LLM Creation: Model Adaptation, Integration, and Multi-Domain Testing, 14. Classification of Sleep Stage for Human Wellness from Single-Channel EEG Using Convolutional Neural Network of Deep Learning, 15. Maximizing Minimum Flow Rates Using Graph Conversion Techniques in Rechargeable Wireless Sensor Networks (rWSN), 16. Explainable Transformer-Augmented U-Net for Brain Tumor Segmentation in MRI, 17. CycleGAN-Based MRI-to-CT Image Synthesis for Tumor-Centric Medical Image Translation, 18. Preprocessing in Colorectal Cancer Histopathology: A Prerequisite for Effective Computational Analysis, 19. CBI4EADP: CatBoost Integrated Early Alzheimer's Disease Prediction Model Using EHRs, 20. Evolutionary Algorithms versus Quantum-Inspired Techniques: Theory, Implementation, and Comparative Insight, 21. Learning Biomedical Associations from Graph Structures for Next-Generation Digital Health Systems, 22. Autonomous NLP Agents for Complex Tasks Using Memory Augmentation and External Tool Reasoning, 23. Improving Transparency and Adaptability in AI with Hybrid Generative Adversary Attention Networks, 24. Revolutionizing Swarm Intelligence with Quantum Artificial Intelligence and IoT Technologies, 25. A Bio-Inspired Game Theoretic and AI-Enhanced Approach for Efficient Data Transfer in Wireless Sensor Networks
