Cognitive internet of medical things for smart healthcare : services and applications / Aboul Ella Hassanien, Aditya Khamparia, Deepak Gupta, K. Shankar, Adam Slowik, editors.
2021
TK5105.8857
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Details
Title
Cognitive internet of medical things for smart healthcare : services and applications / Aboul Ella Hassanien, Aditya Khamparia, Deepak Gupta, K. Shankar, Adam Slowik, editors.
ISBN
9783030558338 (electronic bk.)
3030558339 (electronic bk.)
3030558320
9783030558321
3030558339 (electronic bk.)
3030558320
9783030558321
Imprint
Cham : Springer, 2021.
Language
English
Description
1 online resource (234 pages)
Other Standard Identifiers
10.1007/978-3-030-55833-8 doi
Call Number
TK5105.8857
Dewey Decimal Classification
004.67/8
Summary
This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. It contains thirteen chapters discussing various applications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions. .
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Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Hassanien, Aboul Ella.
Khamparia, Aditya, 1988-
Gupta, Deepak, Ph.D.
Shankar, K. (Computer science researcher)
Slowik, Adam.
Khamparia, Aditya, 1988-
Gupta, Deepak, Ph.D.
Shankar, K. (Computer science researcher)
Slowik, Adam.
Series
Studies in systems, decision and control ; v. 311.
Available in Other Form
Cognitive Internet of Medical Things for Smart Healthcare : Services and Applications.
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Table of Contents
A Review of Applications, Security and Challenges of Internet of Medical Things
Applications and Challenges of Cloud Integrated IoMT
An Effective Fuzzy Logic Based Clustering Scheme for Edge-Computing Based Internet of Medical Things Systems
An IOT Based Medical Tracking System (IMTS) and Prediction with Probability of Infection.
Applications and Challenges of Cloud Integrated IoMT
An Effective Fuzzy Logic Based Clustering Scheme for Edge-Computing Based Internet of Medical Things Systems
An IOT Based Medical Tracking System (IMTS) and Prediction with Probability of Infection.