A long short-term memory framework for surface intensity prediction using source and borehole parameters for improved seismic hazard assessment

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dc.contributor.authorJawad Fayaz
dc.contributor.authorFrancisco Pinto
dc.contributor.authorRodrigo Astroza
dc.contributor.authorCésar Pastén
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T19:57:26Z
dc.date.available2026-03-22T19:57:26Z
dc.date.issued2025
dc.identifier.doi10.1080/17499518.2025.2609280
dc.identifier.urihttps://doi.org/10.1080/17499518.2025.2609280
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/79133
dc.language.isoen
dc.publisherTaylor & Francis
dc.relation.ispartofGeorisk Assessment and Management of Risk for Engineered Systems and Geohazards
dc.sourceUniversity College London
dc.subjectBorehole
dc.subjectGeology
dc.subjectIntensity (physics)
dc.subjectGeotechnical engineering
dc.subjectSurface (topology)
dc.subjectSeismology
dc.subjectHazard analysis
dc.subjectHazard
dc.titleA long short-term memory framework for surface intensity prediction using source and borehole parameters for improved seismic hazard assessment
dc.typearticle

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