Deep Learning and IoT in Healthcare Systems - Info and Reading Options
Paradigms and Applications
By Krishna Kant Singh, Akansha Singh, Jenn-Wei Lin and Ahmed A. Elngar
"Deep Learning and IoT in Healthcare Systems" was published by Apple Academic Press, Incorporated in 2020 - Palm Bay, FL, the book is classified in Computers genre, it has 442 pages and the language of the book is English.
“Deep Learning and IoT in Healthcare Systems” Metadata:
- Title: ➤ Deep Learning and IoT in Healthcare Systems
- Authors: Krishna Kant SinghAkansha SinghJenn-Wei LinAhmed A. Elngar
- Language: English
- Number of Pages: 442
- Is Family Friendly: Yes - No Mature Content
- Publisher: ➤ Apple Academic Press, Incorporated
- Publish Date: 2020
- Publish Location: Palm Bay, FL
- Genres: Computers
“Deep Learning and IoT in Healthcare Systems” Subjects and Themes:
- Subjects: ➤ Medical informatics - Medical care - Data processing - Medicine - Medical Informatics - Medical Informatics Applications - Médecine - Informatique - COMPUTERS / Artificial Intelligence
Edition Identifiers:
- Google Books ID: m81JEAAAQBAJ
- The Open Library ID: OL29519778M - OL21695990W
- Online Computer Library Center (OCLC) ID: 1245957092
- Library of Congress Control Number (LCCN): 2021014039
- ISBN-13: 9781000089189 - 9781003055082 - 9781000089165 - 9781000089141
- ISBN-10: 1000089185
- All ISBNs: 9781000089189 - 1000089185 - 9781003055082 - 9781000089165 - 9781000089141
AI-generated Review of “Deep Learning and IoT in Healthcare Systems”:
Snippets and Summary:
This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare.
"Deep Learning and IoT in Healthcare Systems" Description:
Google Books:
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.
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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is available, image copy is available.
- Google Books Link: Google Books
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