Parag Verma, Ankur Dumka, Alaknanda Ashok, Anuj Bhardwaj, Amit Dumka

COVID-19 (eBook, PDF)

Origin, Detection and Impact Analysis Using Artificial Intelligence Computational Techniques

• Format: PDF

Produktbeschreibung

This book will highlight progress in terms of Virus Biology, Infection Detection, Prevention, and Control, along with Screening, Testing, and Detection Techniques that will provide learners and researchers (basic to advanceD) with the most innovative computer-driven methodologies for the fight against COVID-19.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 528
• Erscheinungstermin: 17. August 2021
• Englisch
• ISBN-13: 9781000391701
• Artikelnr.: 62130024

Autorenporträt

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.