A data driven approach using arima and deep learning time series prediction for forecasting infectious diseases in mysuru karnataka

dc.contributor.guide	B, Madhu
dc.coverage.spatial	Life Sciences
dc.creator.researcher	Abhinandithe K, Stavelin
dc.date.accessioned	2022-12-20T11:39:42Z
dc.date.available	2022-12-20T11:39:42Z
dc.date.awarded	2022
dc.date.completed	2022
dc.date.registered	2017
dc.description.abstract	Available
dc.description.note	summary p 152-153, References 155-161 p
dc.format.accompanyingmaterial	CD
dc.format.dimensions	3
dc.format.extent	i-vii, 1-161 p
dc.identifier.uri	http://hdl.handle.net/10603/428937
dc.language	English
dc.publisher.institution	Life Sciences
dc.publisher.place	Mysore
dc.publisher.university	JSS Academy of Higher Education and Research
dc.relation	105
dc.rights	university
dc.source.university	University
dc.subject.keyword	Biotechnology and Applied Microbiology
dc.subject.keyword	Infectious Diseases, Time Series, Forecasting, NBR, GMDH, ARIMAX, LSTM, Prediction.
dc.subject.keyword	Life Sciences
dc.subject.keyword	Microbiology
dc.title	A data driven approach using arima and deep learning time series prediction for forecasting infectious diseases in mysuru karnataka
dc.title.alternative
dc.type.degree	Ph.D.