Intelligent Internet of Things for Healthcare and Industry

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. It focuses on the emerging trends, strategies, and applications of IoT in healthcare and industry data analytics, helping to design and develop intelligent medical and industry solutions.

Format: Hardback
Length: 384 pages
Publication date: 13 February 2022
Publisher: Springer Nature Switzerland AG

This book is a valuable resource for researchers, practitioners, and students interested in exploring the design and investigation of machine learning-based data analytics of IoT infrastructures. It promotes and facilitates exchanges of research knowledge and findings across different disciplines, enabling a comprehensive understanding of the emerging trends, strategies, and applications of IoT in healthcare and industry data analytics.

The data analytics discussed in this book are crucial for healthcare and industry to address numerous technical challenges and issues that hinder the realization of their potential. By leveraging IoT, intelligent medical and industry solutions can be designed and developed, supported by data analytics and machine learning.

At the end of each chapter, readers are encouraged to assess their understanding through brainstorming summaries, discussions, exercises, and solutions. This book serves as a valuable tool for researchers, practitioners, and students seeking to advance their knowledge in the field of machine learning-based data analytics of IoT infrastructures.

Weight: 764g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030814724
Edition number: 1st ed. 2022