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Computational Modeling and Data Analysis in COVID-19 Research

TaschenbuchKartoniert, Paperback
256 Seiten
Englisch
CRC Presserschienen am25.09.2023
This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as AI and ML techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health.mehr
Verfügbare Formate
TaschenbuchKartoniert, Paperback
EUR63,00
E-BookPDF0 - No protectionE-Book
EUR62,49
E-BookEPUB0 - No protectionE-Book
EUR62,49

Produkt

KlappentextThis book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as AI and ML techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health.
Details
ISBN/GTIN978-0-367-68428-0
ProduktartTaschenbuch
EinbandartKartoniert, Paperback
FormatTrade Paperback (USA)
Verlag
Erscheinungsjahr2023
Erscheinungsdatum25.09.2023
Seiten256 Seiten
SpracheEnglisch
MasseBreite 156 mm, Höhe 234 mm, Dicke 14 mm
Gewicht386 g
Artikel-Nr.12120786
Rubriken
GenreMedizin

Inhalt/Kritik

Inhaltsverzeichnis
Chapter 1 Machine Learning Implementations in COVID-19 Chapter 2 Analysis of COVID-19 Data Using Consensus Clustering Technique Chapter 3 MoBMGAN: Modified GAN-Based Transfer Learning for Automatic Detection of COVID-19 Cases Using Chest X-ray Images Chapter 4 Application and Progress of Drone Technology in the COVID-19 Pandemic: A Comprehensive Review Chapter 5 Smart War on COVID-19 and Global Pandemics: Integrated AI and Blockchain Ecosystem Chapter 6 Machine Learning-Based Text Mining in Social Media for COVID-19 Chapter 7 Containing the Spread of COVID-19 with IoT: A Visual Tracing Approach Chapter 8 Crowd-Sourced Centralized Thermal Imaging for Isolation and Quarantine Chapter 9 Blockchain Technology for Limiting the Impact of Pandemic: Challenges and Prospects Chapter 10 A Study on Mathematical and Computational Models in the Context of COVID-19 Chapter 11 A Detailed Study on AI-Based Diagnosis of Novel Coronavirus from Radiograph Images Chapter 12 Data Analytics for COVID-19mehr

Autor

Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women's University, Bhubaneswar, India.

Dr. Bibudhendu Pati is Associate Professor and Head in the Department of Computer Science at Rama Devi Women's University, Bhubaneswar, India.

Dr. Mamata Rath is Assistant Professor in School of Management (Information Technology) at Birla Global University, Bhubaneswar, India.

Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.