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portada Machine Learning and iot for Intelligent Systems and Smart Applications (Computational Intelligence in Engineering Problem Solving)
Type
Physical Book
Illustrated by
Publisher
Author
Language
English
Pages
228
Format
Hardcover
Dimensions
23.4 x 15.6 x 1.4 cm
Weight
0.52 kg.
ISBN13
9781032047232
Categories

Machine Learning and iot for Intelligent Systems and Smart Applications (Computational Intelligence in Engineering Problem Solving)

Madhumathy P (Illustrated by) · M. Vinoth Kumar (Illustrated by) · R. Umamaheswari (Illustrated by) · CRC Press · Hardcover

Machine Learning and iot for Intelligent Systems and Smart Applications (Computational Intelligence in Engineering Problem Solving) - P, Madhumathy ; Kumar, M. Vinoth ; Umamaheswari, R.

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Synopsis "Machine Learning and iot for Intelligent Systems and Smart Applications (Computational Intelligence in Engineering Problem Solving) "

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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