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020 a| 9781771889322q| (hardback);

020 a| 9781774638118q| (paperback);

020 z| 9781003055082q| (ebook);

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245 00 a| Deep learning and IoT in healthcare systemsh| [electronic resource] :b| paradigms and applications /c| edited by Krishna Kant Singh, PhD, Akansha Singh, PhD, Jenn-Wei Lin, PhD, Ahmed A. Elngar, PhD.;

250 a| First edition.;

260 a| Palm Bay, FL :b| Apple Academic Press,c| 2022.;

300 a| xvi, 332 pages :b| illustrations (some color) ;c| 25 cm;

500 a| "CRC Press, Taylor & Francis Group"--Cover.;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

520 a| "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 along with IoT used by practitioners and researchers worldwide. The authors look at the role and impact that deep learning and the IoT plays in healthcare systems, such as 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 offers mathematical and conceptual background that presents the latest technology as well as a selection of case studies. Deep Learning and IoT in Healthcare Systems: Paradigms and Applications provides an abundance of valuable and useful information for advanced students, scholars and researchers, and industry professionals working with healthcare systems backed by IoT and deep learning techniques"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Medical informatics.=| ^A149372;

650 0 a| Medical carex| Data processing.=| ^A1005407;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Singh, Krishna Kantq| (Telecommunications professor)?| UNAUTHORIZED;

700 1 a| Singh, Akansha.?| UNAUTHORIZED;

700 1 a| Lin, Jenn-Wei.?| UNAUTHORIZED;

700 1 a| Elngar, Ahmed A.=| ^A1458018;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003055082;

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Deep learning and IoT in healthcare systems paradigms and applications / edited by Krishna Kant Singh, PhD, Akansha Singh, PhD, Jenn-Wei Lin, PhD, Ahmed A. Elngar, PhD.

Format	Electronic
Edition	First edition.
Publication Info	Palm Bay, FL : Apple Academic Press, 2022.
Description	xvi, 332 pages : illustrations (some color) ; 25 cm
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Medical informatics. Medical care--Data processing.

Other author/creator	Singh, Krishna Kant (Telecommunications professor)
Other author/creator	Singh, Akansha.
Other author/creator	Lin, Jenn-Wei.
Other author/creator	Elngar, Ahmed A.
Abstract	"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 along with IoT used by practitioners and researchers worldwide. The authors look at the role and impact that deep learning and the IoT plays in healthcare systems, such as 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 offers mathematical and conceptual background that presents the latest technology as well as a selection of case studies. Deep Learning and IoT in Healthcare Systems: Paradigms and Applications provides an abundance of valuable and useful information for advanced students, scholars and researchers, and industry professionals working with healthcare systems backed by IoT and deep learning techniques"-- Provided by publisher.
General note	"CRC Press, Taylor & Francis Group"--Cover.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2021014038
ISBN	9781771889322 (hardback)
ISBN	9781774638118 (paperback)
ISBN	(ebook)

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Deep learning and IoT in healthcare systems paradigms and applications / edited by Krishna Kant Singh, PhD, Akansha Singh, PhD, Jenn-Wei Lin, PhD, Ahmed A. Elngar, PhD.

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