COVID-19 : origin, detection and impact analysis using artificial intelligence computational techniques / edited by Ankur Dumka, Alaknanda Ashok, Parag Verma, Amit Dumka, Anuj Bhardwaj.
By: Verma, Parag [editor.]
.
Contributor(s): Dumka, Ankur [editor.] | Ashok, Alaknanda [editor.] | Dumka, Amit [editor.] | Bhardwaj, Anuj [editor.].
Material type: 
BookPublisher: Boca Raton : CRC Press, 2021Description: 1 online resource : illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9781000391749; 1000391744; 9781000391701; 1000391701; 9781003131410; 1003131417.Subject(s): COVID-19 (Disease) -- Data processing | Artificial intelligence | COMPUTERS / Artificial Intelligence | COMPUTERS / Data Processing / General | COMPUTERS / BioinformaticsDDC classification: 614.592414 Online resources: Taylor & Francis | OCLC metadata license agreement Summary: 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.
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.
OCLC-licensed vendor bibliographic record.
There are no comments for this item.