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COVID-19

Origin, Detection and Impact Analysis Using Artificial Intelligence Computational Techniques...

Parag Verma Ankur Dumka Alaknanda Ashok (Pantnagar, College of Technology, G.B. Pant University of Agriculture and Technology, Rudrapui, Uttarakhand, India) Anuj Bhardwaj

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Paperback

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English
CRC Press
04 October 2024
This book highlights progress in terms of Virus Biology and Infection Detection, Prevention, and Control, along with Screening, Testing, and Detection Techniques, that will provide learners and researchers (from basic to advanced) with the most innovative computer-driven methodologies for the fight against COVID-19. In addition, this book also covers the Pre- and Post-Impact of the COVID-19 Pandemic Crisis that will definitely provide useful content for researchers to think broadly about the analytical areas affected by COVID-19. This ultimately shows different paths to the same destination to help understand the nature of the COVID-19 pandemic and how to avoid it in the future.
By:   , , , , , , , , ,
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 254mm,  Width: 178mm, 
Weight:   975g
ISBN:   9780367674687
ISBN 10:   0367674688
Pages:   510
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Authors. Part I Origin and Background of COVID-19. Chapter 1 Introduction to Emerging Respiratory Viruses with Coronavirus Disease (COVID-19). Chapter 2 The Origin Molecular Structure, Function, and Evolution Insights of COVID-19: Morphogenesis and Spike Proteins. Part II COVID-19 Screening, Testing and Detection Systems: Different Paths to the Same Destination. Chapter 3 Real Time-Polymerase Chain Reaction (RT-PCR) and Antibody Test. Chapter 4 Antigen–Antibody Reaction-Based Immunodiagnostics Method. Part III COVID-19 Detection: Advanced Image Processing with Artificial Intelligence Techniques. Chapter 5 Lung Function Testing (LFT) with Normal CT Scans and AI Algorithm. Chapter 6 Chest X-Ray Image-Based Testing Using Machine Learning Techniques. Chapter 7 Blood Cell Microscope Image-Based Testing Using Deep Learning Techniques. Part IV Analysis of the Pre- and Post-Impact of the COVID-19 Pandemic Crisis. Chapter 8 Direct and Indirect Impacts of Environmental Factors on the COVID-19 Pandemic. Chapter 9 Direct and Indirect Impacts of the COVID-19 Pandemic Crisis on Economy. Chapter 10 Direct and Indirect Impacts of the COVID-19 Pandemic Crisis on Food & Agriculture. Chapter 11 Direct and Indirect Impacts of the COVID-19 Pandemic Crisis on Hotels, Tour and Travel Sectors. Chapter 12 Direct and Indirect Impacts of the COVID-19 Pandemic Crisis on Human Physical and Physiological Health. Index.

Mr. Parag Verma Mr. Parag Verma is working as Assistant Professor at Uttaranchal University, Dehradun. He is having a long experience of 8+ years in the field of industry and academics. He is having 15+ international papers in reputed conferences and journals. He has contributed 2 books with publishers like Nerosa and Alpha, and currently working on 2 more accepted books. He had also contributed 4 chapters for reputed publishers. He is also an editorial board member of many reputed conferences and journals including Scopus. He is also a guest editor of IJNCDS (Scopus Indexed inderscience Journal) and many more. He is associated with many societies and organizations for the welfare of educationalist societies. Dr. Ankur Dumka is working as Associate Professor in Graphic Era Deemed to be University, Dehradun. He is having a long experience of 10+ years in the field of industry and academics. He is associated with smart city Dehradun as an academic expert committee member and co-ordinator in terms of projects related to IT. He is having 40 + international papers in reputed conferences and journals. He has contributed 3 books with publishers like Taylor and Francis, IGI global, etc. and currently working on 3 more accepted books. He had also contributed 14 chapters for reputed publishers. He is also editorial board members of many reputed conferences and journals including Scopus and IEEE. He is also a guest editor of IJNCDS (Scopus Indexed inderscience Journal), guest editor for IJNCR (ACM digital library -IGI global journal) and many more. He is associated with many societies and organizations for the welfare of educationalist societies. Dr. Alaknanda ashok is working as dean and professor, college of technology, G.B.Pant university of Agriculture and technology, pantnagar. She is having a large administrative experience as director, women Institute of technology and controller of examiner of uttarakhand technical university. She is having more than 50 research papers in reputed journals and conferences of repute. She is having 3 patent published. She is having many research projects working under her supervision as project in charge. She is also having many book chapters and currently working on proposed books with Taylor and Francis. She is also associated with many journals and conferences in the capacity of editor, editorial board member and convener. Amit Dumka is working as Deputy Manager in Government Medical College, Haldwani, India. He is having more than 17 years of experience with administrative and industry exposure. He is having many research papers in reputed journals and conferences. He is also associated with journals in the capacity of editorial board members and guest editor. Dr. Anuj Bhardwaj, M. Tech. & Ph. D degree in computer science. He is currently a Professor of Computer Science & Engineering with Chandigarh University, Mohali, Punjab. He is having a long experience of 12+ years in the field of industry and academics. He is having 27+ international papers in reputed conferences and journals. He has contributed 2 books with publishers like Nerosa and Alpha, and currently working on 2 more accepted books. He had also contributed 6 chapters for reputed publishers. His current research interests include pattern & character recognition, graphics & vision, artificial intelligence & neural networks and machine learning.

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