Research Advances in Intelligent Computing by Verma, Anshul; Verma, Pradeepika;

Rövid leírás:

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. 

Hosszú leírás:

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.

Tartalomjegyzék:

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