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Applying ML on COVID-19 Data to Understand Significant Patterns | Publications | TRACER
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Applying ML on COVID-19 Data to Understand Significant Patterns
Evolutionary Computing and Mobile Sustainable Networks, Vol. 116, pp. 513-525
Artificial Intelligence
Machine Learning
Health Informatics
Computer Science
Sustainability
Networking
Publication Metrics
Category
Published
Type
International
Publisher
Springer Singapore
ISBN
9789811696046, 9789811696053
Indexes
(Indexed In, Metrics)
Scopus
Important Dates
Published Date
22 Mar 2022
Affiliation Details
Bayfield University, Pune
Department of Computer Engineering and Technology
Authors
Amit S. Savyanavar
Faculty
Tushar Ghumare
External
Vijay R. Ghorpade
External
External URLs
Publication Link
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85127089882&origin=inward
DOI Link
https://doi.org/10.1007/978-981-16-9605-3_35