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Machine Learning-Enabled IoT for Smart Applications Across Industries

Machine Learning-Enabled IoT for Smart Applications Across Industries

by Neha Goel and Ravindra Kumar Yadav
Hardback
Publication Date: 03/07/2023

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Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology has proven efficient in solving many real-world problems, and ML algorithms combined with IoT means the fusion of product and intelligence to achieve better automation, efficiency, productivity, and connectivity. The Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries highlights the importance of ML for IoT's success and diverse ML-powered IoT applications. This book addresses the problems and challenges in energy, industry, and healthcare and solutions proposed for ML-enabled IoT and new algorithms in ML. It further addresses their accuracy for existing real-time applications. Covering topics such as agriculture, pattern recognition, and smart applications, this premier reference source is an essential resource for engineers, scientists, educators, students, researchers, and academicians.
ISBN:
9781668487853
9781668487853
Category:
Technical design
Format:
Hardback
Publication Date:
03-07-2023
Language:
English
Publisher:
IGI Global
Country of origin:
United States
Dimensions (mm):
279.4x215.9mm

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