| Description |
1 online resource (311 p.) |
| Summary |
This book focuses on both the design and implementation of AI-based approaches for systems that aid in monitoring and combating pandemics such as occurred with COVID-19. These systems are based on the Internet of Medical Things (IoMT), using sensor networks and other advanced technologies. The book examines different aspects of AI and IoMT |
| Notes |
Description based upon print version of record |
|
Dr. M. Rubaiyat Hossain Mondal is a Professor in the Institute of Information and Communication Technology (IICT) at Bangladesh University of Engineering and Technology (BUET), Bangladesh. Dr. Utku Kose is an Associate Professor in Suleyman Demirel University, Turkey. Dr. Surya Prasath is a mathematician with expertise in the application areas of image processing and computer vision. Dr. Prajoy Podder is a researcher at the Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology. Dr. Subrato Bharati is a researcher at the Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology. Dr. Joarder Kamruzzaman is a Professor at the School of Engineering, Information Technology and Physical Sciences, Federation University, Australia |
| Subject |
Pandemics -- Prevention -- Data processing
|
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COVID-19 Pandemic, 2020- -- Economic aspects
|
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COVID-19 (Disease) -- Data processing
|
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Internet of medical things
|
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Medical informatics.
|
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Artificial intelligence -- Medical applications.
|
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COMPUTERS / Artificial Intelligence
|
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Artificial intelligence -- Medical applications
|
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COVID-19 (Disease) -- Data processing
|
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Economics
|
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Medical informatics
|
| Form |
Electronic book
|
| Author |
Kose, Utku, 1985-
|
|
Prasath, V. B. Surya.
|
|
Podder, Prajoy.
|
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Bharati, Subrato.
|
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Kamruzzaman, Joarder.
|
| ISBN |
9781000777703 |
|
1000777707 |
|
9781003324447 |
|
1003324444 |
|
9781000777710 |
|
1000777715 |
|
