Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics
About this ebook
This book focuses on the design and implementation of AI-based approaches in the proposed COVID-19 solutions that are enabled and supported by IoMT, sensor networks, cloud and edge computing, robotics, and analytics. It covers technologies under the umbrella of AI that include data science, big data, machine learning (ML), semantic technologies, analytics, and cyber security.
Highlights of the book include:
- Epidemic forecasting models
- Surveillance and tracking systems
- IoMT and Internet of Healthcare Things-based integrated systems for COVID-19
- Social network analysis systems
- Radiological image- based diagnosis systems
- Computational intelligence methods
This reference work is beneficial for interdisciplinary students, researchers, and healthcare and technology professionals who need to know how computational intelligence could be used for surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease.
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About the author
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.
