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Intelligent IoT Systems in Personalized Health Care (Original PDF from Publisher)

Intelligent IoT Systems in Personalized Health Care: A Comprehensive Guide

Authored by Arun Kumar Sangaiah, this book provides a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. It adopts an interdisciplinary approach, focusing on methods used to identify and acquire valid, potentially useful knowledge sources.

Understanding the Fusion of AI with IoT

The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications.

IoT Based Architecture and Predictive Analytics

It is well suited for researchers exploring the significance of IoT based architecture to perform predictive analytics of user activities in sustainable health. This book illustrates state-of-the-art developments in new theories and applications of IoMT techniques as applied to parallel computing environments in biomedical engineering systems.

Intelligent Data-Centric IoT Systems

It presents concepts and technologies successfully used in the implementation of today’s intelligent data-centric IoT systems and Edge-Cloud-Big data. This comprehensive guide is essential for those interested in the intersection of AI, IoT, and personalized health care.

Publication Details: Published by Elsevier Science on November 6, 2020. Language: English. ISBN: 9780128211878, 9780128232040.

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