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Machine Learning and IoT for Intelligent Systems and Smart Applications

By: (Edited by) M Vinoth Kumar , (Edited by) Madhumathy P , (Edited by) R. Umamaheswari

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Ksh 20,700.00

Format: Hardback or Cased Book

ISBN-10: 1032047232

ISBN-13: 9781032047232

Series: Computational Intelligence in Engineering Problem Solving

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 25th, 2021

Print length: 228 Pages

Weight: 467 grams

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This book discusses algorithmic applications in the field of machine learning and IOT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. It includes pertinent applications and case studies.

The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications.  It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects.

Features:

  • Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications.
  • Discusses supervised and unsupervised machine learning for IoT data and devices.
  • Presents an overview of the different algorithms related to Machine learning and IoT.
  • Covers practical case studies on industrial and smart home automation.
  • Includes implementation of AI from case studies in personal and industrial IoT.

This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.


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