"AI at Edge: Transforming Edge Networks with Computational Intelligence" explores how artificial intelligence enhances the efficiency and capabilities of edge computing. It focuses on key topics like task offloading, resource management, communication optimization, Explainable AI, Security, privacy, and real-time decision-making at the edge. Readers will gain insights into practical methods and tools used to solve real-world challenges in low-latency and high-efficiency networks. The book includes clear explanations, ...
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"AI at Edge: Transforming Edge Networks with Computational Intelligence" explores how artificial intelligence enhances the efficiency and capabilities of edge computing. It focuses on key topics like task offloading, resource management, communication optimization, Explainable AI, Security, privacy, and real-time decision-making at the edge. Readers will gain insights into practical methods and tools used to solve real-world challenges in low-latency and high-efficiency networks. The book includes clear explanations, practical case studies, and illustrations to help readers understand complex concepts. It is designed for researchers, professionals, and students, offering a mix of foundational knowledge and advanced techniques. By reading this book, readers will learn how to design smarter, faster, and more secure edge networks using AI. " AI at Edge: Transforming Edge Networks with Computational Intelligence " is an indispensable resource for researchers, practitioners, and enthusiasts seeking a deep understanding of the dynamic landscape at the intersection of computational intelligence and edge computing.
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Add this copy of AI at Edge: Transforming Edge Networks with to cart. $215.66, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2026 by Springer Nature Switzerland AG.
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New. Contains: Illustrations, black & white, Illustrations, color. Studies in Computational Intelligence . VI, 375 p. 50 illus., 34 illus. in color. Intended for professional and scholarly audience.
