Genomic Analysis and Cases Prediction of Novel Coronavirus Using Deep Learning Approaches

dc.contributor.guide	Surendiran, B and Dhanalakshmi, R
dc.coverage.spatial
dc.creator.researcher	Sweeti, Sah
dc.date.accessioned	2024-02-26T05:34:42Z
dc.date.available	2024-02-26T05:34:42Z
dc.date.awarded	2023
dc.date.completed	2023
dc.date.registered	2019
dc.description.abstract	Available
dc.description.note	Summary 103-103p, References P.108-120.
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	xiv,124p.
dc.identifier.uri	http://hdl.handle.net/10603/547235
dc.language	English
dc.publisher.institution	Computer Science and Engineering
dc.publisher.place	Puducherry
dc.publisher.university	National Institute of Technology Puducherry
dc.relation	No.of References 158
dc.rights	university
dc.source.university	University
dc.subject.keyword	ARIMA
dc.subject.keyword	Cases Forecasting
dc.subject.keyword	Computer Science
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Fbprophet
dc.subject.keyword	Linear Regression
dc.subject.keyword	Polynomial Regression
dc.subject.keyword	Recurrent Neural Network
dc.subject.keyword	SARIMAX
dc.subject.keyword	Telecommunications
dc.title	Genomic Analysis and Cases Prediction of Novel Coronavirus Using Deep Learning Approaches
dc.title.alternative
dc.type.degree	Ph.D.