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    Neural Network–Based Ground Motion Model for Central and Western Himalayas in India Using a Seismological Model

    Source: Natural Hazards Review:;2025:;Volume ( 026 ):;issue: 003::page 04025038-1
    Author:
    Kanth Sriwastav, Ravi
    ,
    Prasanth Kumar, Soyam
    ,
    Yedulla, Jyothi
    ,
    Raghukanth, S. T. G.
    ,
    Basu, Jahnabi
    DOI: 10.1061/NHREFO.NHENG-2300
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe Himalayan region, formed by the collision of the stable Eurasian plate with the northward-moving Indian plate, is one of the most tectonically active areas in the world. This complex tectonic environment leads to significant seismic hazards, ...Practical ApplicationsA ground motion model is developed for the central and western Himalayan region using artificial records, simulated utilizing well-calibrated regional inputs. These inputs are tested for their influence on predictions prior to model ...
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      Neural Network–Based Ground Motion Model for Central and Western Himalayas in India Using a Seismological Model

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4313991
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    contributor authorKanth Sriwastav, Ravi
    contributor authorPrasanth Kumar, Soyam
    contributor authorYedulla, Jyothi
    contributor authorRaghukanth, S. T. G.
    contributor authorBasu, Jahnabi
    date accessioned2026-08-20T21:07:34Z
    date available2026-08-20T21:07:34Z
    date copyright2025/06/05
    date issued2025
    identifier otherNHREFO.NHENG-2300.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313991
    description abstractAbstractThe Himalayan region, formed by the collision of the stable Eurasian plate with the northward-moving Indian plate, is one of the most tectonically active areas in the world. This complex tectonic environment leads to significant seismic hazards, ...Practical ApplicationsA ground motion model is developed for the central and western Himalayan region using artificial records, simulated utilizing well-calibrated regional inputs. These inputs are tested for their influence on predictions prior to model ...
    publisherAmerican Society of Civil Engineers
    titleNeural Network–Based Ground Motion Model for Central and Western Himalayas in India Using a Seismological Model
    typeJournal Article
    journal volume26
    journal issue3
    journal titleNatural Hazards Review
    identifier doi10.1061/NHREFO.NHENG-2300
    journal fristpage04025038-1
    journal lastpage04025038-18
    page18
    treeNatural Hazards Review:;2025:;Volume ( 026 ):;issue: 003
    contenttypeFulltext
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