Investigating Spatiotemporal Trends Using Precursory Signatures Implications to Develop Short Term Earthquake Forecasting Techniques in Sumatra Andaman region

dc.contributor.guide	Venkatanathan, N
dc.coverage.spatial	Computer Science
dc.creator.researcher	Ramy Jeyaraman
dc.date.accessioned	2025-04-09T10:46:25Z
dc.date.available	2025-04-09T10:46:25Z
dc.date.awarded	2024
dc.date.completed	2024
dc.date.registered	2019
dc.description.abstract	Abstract Included
dc.description.note	Ref p.131-146, App p.147-149
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	xviii, 149p
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/632624
dc.language	English
dc.publisher.institution	School of Electrical and Electronics Engineering
dc.publisher.place	Thanjavur
dc.publisher.university	SASTRA University
dc.relation	No.of References 166
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Interdisciplinary Applications
dc.subject.keyword	Earthquake forecasting studies
dc.subject.keyword	Earthquake precursors
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Machine learning
dc.subject.keyword	Seismic and Non seismic parameters
dc.subject.keyword	Solid earth tides and Outgoing longwave radiation
dc.title	Investigating Spatiotemporal Trends Using Precursory Signatures Implications to Develop Short Term Earthquake Forecasting Techniques in Sumatra Andaman region
dc.title.alternative
dc.type.degree	Ph.D.