000			02218cam a2200289zu 4500
001			88955532
003			FRCYB88955532
005			20250108004151.0
006			m o d
007			cr un
008			250108s2020 fr | o|||||0|0|||eng d
020			_a9780128211878
035			_aFRCYB88955532
040			_aFR-PaCSA _ben _c _erda
100	1		_aSangaiah, Arun Kumar
245	0	1	_aIntelligent IoT Systems in Personalized Health Care _c['Sangaiah, Arun Kumar', 'Mukhopadhyay, Subhas Chandra']
264		1	_bElsevier Science _c2020
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aSangaiah, Arun Kumar
700	0		_aMukhopadhyay, Subhas Chandra
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88955532 _qtext/html _a
520			_aIntelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT 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 IoT 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 IoT 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 IoT Illustrates state-of-the-art developments in new theories and applications of IoMT 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 IoT systems and Edge-Cloud-Big data
999			_c79282 _d79282