Deep learning and IoT in healthcare systems : paradigms and applications /

"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...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Singh, Krishna Kant (Telecommunications professor) (Editor), Singh, Akansha (Editor), Lin, Jenn-Wei (Editor), Elngar, Ahmed A. (Editor)
Format: eBook
Language:English
Published: Palm Bay, FL : Boca Raton, FL : Apple Academic Press Inc. ; CRC Press, 2022.
Edition:First edition.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"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"--
Physical Description:1 online resource : illustrations (some color)
Bibliography:Includes bibliographical references and index.
ISBN:9781003055082
1003055087
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1000089185