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Deep Learning and Iot In Healthcare Systems Paradigms and Applications

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Palm Bay, FL: Apple Academic Press, c2022Edition: 1stDescription: XVI, 332 p. : illISBN:
  • 9781774638118
Subject(s): DDC classification:
  • 610.285 SIN
Online resources: Summary: 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 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.
Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Lending Collection Lending Collection Circulation Section Circulation Section 610.285 SIN 2022-23 Available 97894

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 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.