AI at Edge: Transforming Edge Networks with Computational Intelligence

Springer, 2026

"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.

• Curatore: Keshav Kaushik, Ehzaz Mustafa, Junaid Shuja, Inam Ullah Khan
• Anno edizione: 2026
• Editore: Springer
• Formato: EPUB3 con Adobe DRM
• Lingua: Inglese
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9783032167118