Computational Modeling and Data Analysis in COVID-19 Research (eBook, PDF)

Redaktion: Rani Panigrahi, Chhabi; Buyya, Rajkumar; Rath, Mamata; Pati, Bibudhendu

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 270
• Erscheinungstermin: 9. Mai 2021
• Englisch
• ISBN-13: 9781000384970
• Artikelnr.: 61314798

Autorenporträt

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.

Inhaltsangabe

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