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Can I read Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries [by Team-IRA] on EtoBox?

Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries [by Team-IRA] by Neha Goel (editor), Ravindra Kumar Yadav (editor) is a nonfiction available to read on EtoBox.

What is Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries [by Team-IRA] about?

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,

Who reads Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries [by Team-IRA]?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Neha Goel (editor), Ravindra Kumar Yadav (editor)
Publisher
IGI Global
Published
2023
Language
EN
ISBN
9781668487860
Category
nonfiction
Subjects
Computer Science, Management, Engineering

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