Machine Learning and IoT for Intelligent Systems and Smart Applications (Hardcover)

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.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Computational Intelligence in Engineering Problem Solving
Release date:	November 2021
First published:	2022
Editors:	Madhumathy P • M Vinoth Kumar • R Umamaheswari
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	228
ISBN-13:	978-1-03-204723-2
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > Databases > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-03-204723-2
Barcode:	9781032047232

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