Computational Modeling and Data Analysis in COVID-19 Research: Emerging Trends in Biomedical Technologies and Health informatics
Editat de Chhabi Rani Panigrahi, Bibudhendu Pati, Mamata Rath, Rajkumar Buyyaen Limba Engleză Paperback – 25 sep 2023
- Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19
- Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak
- Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19
- Includes different case studies on COVID-19
Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India.
Dr. Mamata Rath is Assistant Professor in the 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.
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Specificații
ISBN-13: 9780367684280
ISBN-10: 0367684284
Pagini: 270
Ilustrații: 22 Tables, black and white; 68 Line drawings, black and white; 30 Halftones, black and white; 98 Illustrations, black and white
Dimensiuni: 156 x 234 x 14 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Emerging Trends in Biomedical Technologies and Health informatics
ISBN-10: 0367684284
Pagini: 270
Ilustrații: 22 Tables, black and white; 68 Line drawings, black and white; 30 Halftones, black and white; 98 Illustrations, black and white
Dimensiuni: 156 x 234 x 14 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Emerging Trends in Biomedical Technologies and Health informatics
Cuprins
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-19
Notă biografică
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.
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.
Descriere
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.