Intelligent Io T Systems in Personalized Health Care delivers a significant forum for the technical advancement of Io MT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with Io T and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications. The book is well suited for researchers exploring the significance of Io T based architecture to perform predictive analytics of user activities in sustainable health. – Presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with Io T- Illustrates state-of-the-art developments in new theories and applications of Io MT techniques as applied to parallel computing environments in biomedical engineering systems- Presents concepts and technologies successfully used in the implementation of today’s intelligent data-centric Io T systems and Edge-Cloud-Big data
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