nanoll extt
Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/4637
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKansal, Kajal
dc.contributor.authorSingh, Akansha
dc.date.accessioned2024-05-30T11:38:06Z-
dc.date.available2024-05-30T11:38:06Z-
dc.date.issued2023
dc.identifier.issn978-93-82206-45-3
dc.identifier.urihttp://lrcdrs.bennett.edu.in:80/handle/123456789/4637-
dc.description.abstractThe COVID-19 pandemic, which has lasted for the past some years, has had a significant impact on society globally, resulting in many deaths and requiring innovative approaches to address its difficulties. Researchers have stepped up their attempts to utilize AI in numerous areas of medical science to combat COVID- 19, acknowledging its crucial function. This paper thoroughly examines the evaluation and investigation of several ML and DL methods, as well as their combinations, used in current research projects. This research aims to tackle the complex challenges stemming from the COVID-19 pandemic by analyzing a variety of studies that used various kinds of data. ML, DL, and AI applications are crucial tools for enhancing medical capabilities and response methods. The paper thoroughly analyses and compares the effectiveness of stand-alone ML and DL research projects in tackling difficulties related to COVID-19. This comparative evaluation aims to address important research inquiries and guide future investigations in this field. The study addresses the research issues by providing insights into the existing use of AI in the context of COVID-19 and suggesting future research options. The synthesis of findings is intended to provide guidance to various research groups for creating practical applications utilizing ML, DL, and AI models. The incorporation of AI in medical science offers optimism and progress amidst the challenges of COVID-19.en_US
dc.publisherRawat Prakashanen_US
dc.titleUtilizing AI in the Fight Against COVID-19: Exploring Strategies, Challenges, and Future Prospectsen_US
dc.typeBook Chapteren_US
Appears in Collections:Book Chapters_ SCSET

Files in This Item:
File SizeFormat 
Ch_15_978-93-82206-45-3.pdf
  Restricted Access
3.26 MBAdobe PDFView/Open Request a copy

Contact admin for Full-Text

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.