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    Flood Susceptibility Assessment in the Jhelum Basin Using Machine Learning and GIS Techniques 

    Source: Natural Hazards Review:;2026:;Volume ( 027 ):;issue: 003:;page 04026012-1
    Author(s): Hassan, Safeena; Samantaray, Sandeep; Annayat, Wajahat; Satapathy, Deba Prakash
    Publisher: American Society of Civil Engineers
    Abstract: AbstractFlood susceptibility assessment is critical for disaster risk reduction, particularly in flood-prone areas like the Jhelum Basin. This study integrates machine learning techniques, including random forest (RF), ...
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