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Machine Learning for Wireless Communication|Dr Sanjay Agal

Machine Learning for Wireless Communication : Principles and Applications

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9798899061073
  • ISBN-10: 9798899061073
  • Publisher: Notion Press
  • Publish Date: April 2025
  • Dimensions: 11 x 8.5 x 0.81 inches
  • Shipping Weight: 2.2 pounds
  • Page Count: 310

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