Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries (Hardcover) (ISBN-13: 9781668487853)

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.

Author: Neha Goel
ISBN-10: 1668487853
ISBN-13: 9781668487853
Publisher: Engineering Science Reference
Language: English
Published: 06/30/2023
Pages: 400
Format: Hardcover
Weight: 3.55lbs
Size: 11.00h x 8.50w x 1.25d