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Next-Gen Computing: Cloud, Soft Computing, and Intelligent Systems presents a comprehensive and forward-looking exploration of modern computing paradigms shaping the digital era. This book bridges foundational concepts with emerging technologies, offering a clear understanding of how cloud computing enables scalable, on-demand infrastructure; how soft computing techniques such as fuzzy logic, neural networks, and evolutionary algorithms address uncertainty and complexity; and how intelligent systems drive automation, learning, and decision-making.
Designed for students, researchers, and professionals, the book explains theoretical principles alongside practical use cases drawn from real-world domains such as healthcare, smart cities, agriculture, finance, and cybersecurity. It emphasizes integration showing how cloud platforms support intelligent applications, and how soft computing enhances adaptability and human-centric computing. With structured chapters, illustrative examples, and future-oriented insights, this book serves as a valuable resource for understanding and designing next-generation computing systems that are scalable, intelligent, and resilient in an increasingly data-driven world.
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Dr. Vinod Patidar, Dr. Gaurav Kumar Ameta, Mr. Navneet Kumar Chak, Mr. Krishna Kant Nayak
Editor Details:
Dr. Rahul Sharma, Assistant Professor (Senior Scale), Department of Artificial Intelligence and machine learning, Manipal University Jaipur, Jaipur, Rajasthan, India
Authors Detail:
Dr. Vinod Patidar, Associate Professor (CSE), Parul Institute of Technology, Parul University, Vadodara
Dr. Gaurav Kumar Ameta, Professor (CSE), Parul Institute of Technology, Parul University, Vadodara
Mr. Navneet Kumar Chak, Assistant Lecturer (CSE/IT), University Institute of Science and Technology, Ravindranath Tagore University Raisen, Bhopal
Mr. Krishna Kant Nayak, Assistant Professor (ECE), Bansal Institute of Science and Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya (R.G.P.V), Bhopal
