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    Machine Learning Models for Seismic Energy Forecasting and Spatial Correlation Analysis for the Himalayan and Indo-Burmese Regions

    Source: Natural Hazards Review:;2026:;Volume ( 027 ):;issue: 003::page 04026010-1
    Author:
    Yarramsetty, Bala Balaji
    ,
    Baladhandapani, Kavitha
    DOI: 10.1061/NHREFO.NHENG-2647
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis study investigates seismic energy forecasting and interregional correlation analysis using advanced analytical techniques to enhance understanding of seismic behavior. The research compiles a comprehensive catalog of processed earthquake ...
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      Machine Learning Models for Seismic Energy Forecasting and Spatial Correlation Analysis for the Himalayan and Indo-Burmese Regions

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4314032
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    contributor authorYarramsetty, Bala Balaji
    contributor authorBaladhandapani, Kavitha
    date accessioned2026-08-20T21:09:10Z
    date available2026-08-20T21:09:10Z
    date copyright2026/04/13
    date issued2026
    identifier otherNHREFO.NHENG-2647.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314032
    description abstractAbstractThis study investigates seismic energy forecasting and interregional correlation analysis using advanced analytical techniques to enhance understanding of seismic behavior. The research compiles a comprehensive catalog of processed earthquake ...
    publisherAmerican Society of Civil Engineers
    titleMachine Learning Models for Seismic Energy Forecasting and Spatial Correlation Analysis for the Himalayan and Indo-Burmese Regions
    typeJournal Article
    journal volume27
    journal issue3
    journal titleNatural Hazards Review
    identifier doi10.1061/NHREFO.NHENG-2647
    journal fristpage04026010-1
    journal lastpage04026010-16
    page16
    treeNatural Hazards Review:;2026:;Volume ( 027 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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