Study of Anomalous Variations in Seismic and Non Seismic Parameters Using Machine Learning Techniques to Develop the Earthquake Forecasting Model in the Himalayan Belt

dc.contributor.guideVenkatanathan, N
dc.coverage.spatialPhysical Sciences
dc.creator.researcherSenthil Kumar, M
dc.date.accessioned2025-11-24T09:34:55Z
dc.date.available2025-11-24T09:34:55Z
dc.date.awarded2025
dc.date.completed2025
dc.date.registered2019
dc.description.abstractAbstract Included
dc.description.noteReferences p.172-197, Appendix p.198-201
dc.format.accompanyingmaterialDVD
dc.format.dimensions30 cm
dc.format.extentxxiv, 201
dc.identifier.researcherid
dc.identifier.urihttp://hdl.handle.net/10603/675838
dc.languageEnglish
dc.publisher.institutionSchool of Electrical and Electronics Engineering
dc.publisher.placeThanjavur
dc.publisher.universitySASTRA University
dc.relationNo.of Citation 271
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordEarthquake Forecasting
dc.subject.keywordGeosciences
dc.subject.keywordGeosciences Multidisciplinary
dc.subject.keywordMachine Learning
dc.subject.keywordMicro Seismicity
dc.subject.keywordOutgoing Longwave Radiation
dc.subject.keywordPhysical Sciences
dc.subject.keywordSolid Earth Tide
dc.titleStudy of Anomalous Variations in Seismic and Non Seismic Parameters Using Machine Learning Techniques to Develop the Earthquake Forecasting Model in the Himalayan Belt
dc.title.alternative
dc.type.degreePh.D.

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