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Enhancing spatial prediction of groundwater-prone areas through optimization of a boosting algorithm with bio-inspired metaheuristic algorithmsopen access

Razavi-Termeh, Seyed Vahid; Sadeghi-Niaraki, Abolghasem; Abba, Sani I.; Ali, Farman; Choi, Soo-Mi

ArticleIssue Date2024CitationAPPLIED WATER SCIENCE, v.14, no.11PublisherSPRINGER HEIDELBERG
SCIESCOPUS
Improving flood-prone areas mapping using geospatial artificial intelligence (GeoAI): A non-parametric algorithm enhanced by math-based metaheuristic algorithms

Razavi-Termeh, Seyed Vahid; Sadeghi-Niaraki, Abolghasem; Ali, Farman; Choi, Soo-Mi

ArticleIssue Date2025CitationJournal of Environmental Management, v.375PublisherAcademic Press
SCIESCOPUS
Spatial mapping of land susceptibility to dust emissions using optimization of attentive Interpretable Tabular Learning (TabNet) model

Razavi-Termeh, Seyed Vahid; Sadeghi-Niaraki, Abolghasem; Sorooshian, Armin; Abuhmed, Tamer; Choi, Soo-Mi

ArticleIssue Date2024CitationJournal of Environmental Management, v.358PublisherAcademic Press
SCIESCOPUS
Spatio-temporal modeling of asthma-prone areas: Exploring the influence of urban climate factors with explainable artificial intelligence (XAI)

Razavi-Termeh, Seyed Vahid; Sadeghi-Niaraki, Abolghasem; Ali, Farman; Naqvi, Rizwan Ali; Choi, Soo-Mi

ArticleIssue Date2024CitationSustainable Cities and Society, v.116PublisherElsevier Ltd
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