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 intelligent computing, 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.



Showcases recent, impactful applications of intelligent computing across diverse domains, supported by detailed case studies.
Offers deep insights into the latest research developments and outlines promising areas for future exploration in intelligent computing.
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.