000			01897nam a22002657a 4500
008			230202s2022 |||||||| |||| 00| 0 eng d
020			_a9781774638118
022			_l9781774638118
041			_aeng
082			_a610.285 _bSIN
100			_aSingh, Krishna Kant _eED _9673645
245			_aDeep Learning and Iot In Healthcare Systems Paradigms and Applications
250			_a1st
260			_aPalm Bay, FL: _bApple Academic Press, _cc2022
300			_aXVI, 332 p. _b: ill
504			_aYY
520			_aSUMMARY: This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques in conjunction with IoT used by practitioners and researchers worldwide. The authors explore the convergence of IoT and deep learning to enable things to communicate, share information, and coordinate decisions. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. Chapters look at assistive devices in healthcare, alerting and detection devices, energy efficiency in using IoT, data mining for gathering health information for individuals with autism, IoT for mobile applications, and more. The text also offers mathematical and conceptual background that presents the latest technology as well as a selection of case studies.
650		0	_9123165 _aMedical Informatics
650		0	_9673767 _aMedical Care Data Processing
700			_eED _aSingh, Akansha _9673770
700			_eED _aLin, Jenn-Wei _9673771
856			_yTOC _uhttps://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781774638118.pdf
856			_yWEB LINK _uhttps://www.routledge.com/Deep-Learning-and-IoT-in-Healthcare-Systems-Paradigms-and-Applications/Singh-Singh-Lin-Elngar/p/book/9781771889322#
942			_2ddc _cBOO
999			_c701198 _d701198