Intelligent Systems and Advanced Computing is a comprehensive academic resource that explores the principles, technologies, and real-world applications of modern intelligent computing. The book provides a systematic understanding of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Cloud Computing, Internet of Things (IoT), Robotics, Cybersecurity, Data Analytics, and Intelligent Decision Support Systems. It also highlights emerging areas such as Explainable AI (XAI), Responsible AI, Sustainable Intelligent Computing, Quantum Artificial Intelligence, Intelligent Enterprises, and Autonomous Systems. Designed for undergraduates, postgraduates, researchers, educators, and industry professionals, the book combines theoretical foundations with practical insights, illustrative diagrams, case studies, and contemporary examples from healthcare, finance, agriculture, transportation, manufacturing, and smart cities. Each chapter is structured to facilitate conceptual clarity while introducing readers to state-of-the-art tools, algorithms, frameworks, and implementation strategies. With a strong focus on innovation, ethical considerations, and future technological trends, Intelligent Systems and Advanced Computing serves as an essential reference for understanding how intelligent technologies are transforming industries and shaping the digital future.
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