Machine Learning for Wireless Communication: Principles and Applications - Brossura

Dr Sanjay Agal

 
9798899061073: Machine Learning for Wireless Communication: Principles and Applications
Brossura
ISBN 13: 9798899061073
Casa editrice: Notion Press, 2025

Sinossi

Machine Learning for Wireless Communication: Principles and Applications
Edited by Dr. Sanjay Agal

Unlock the future of connectivity where algorithms power intelligent communication systems. Machine Learning for Wireless Communication: Principles and Applications is your essential guide to the transformative synergy between machine learning and next-generation wireless technologies.

Whether you're a researcher, student, or industry professional, this comprehensive volume bridges the gap between theory and practical application. Covering foundational concepts—from supervised and unsupervised learning to deep learning and reinforcement learning—it progresses into real-world applications such as 5G/6G optimization, IoT integration, edge computing, and network security.

With clear explanations, illustrative case studies, and insights from seasoned educators and engineers, this book goes beyond technical depth to offer a strategic vision of how data-driven intelligence is reshaping wireless networks.

Step into a world where machines not only learn but anticipate, adapt, and revolutionize how we connect.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
Notion Press
Data di pubblicazione
2025
Lingua
Inglese
ISBN 13 
9798899061073
Rilegatura
Copertina flessibile
Numero di pagine
310
Contatto del produttore
non disponibile
Persona responsabile
GPSR Kontakt
gpsr@libri.de

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