Deep Learning and IoT in Healthcare Systems - Paradigms and Applications (Hardcover)

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.

General

Imprint:	Apple Academic Press Inc.
Country of origin:	Canada
Release date:	December 2021
First published:	2022
Editors:	Akansha Singh • Jenn-Wei Lin • Ahmed A. Elngar • Krishna Kant Singh
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	348
ISBN-13:	978-1-77188-932-2
Categories:	Books > Medicine > General issues > Health systems & services > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	1-77188-932-2
Barcode:	9781771889322

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