Assessing climate change impacts on flood risk in the Yeongsan River Basin, South Korea. [PDF]
Sci RepAshu AB, Kang J.
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Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: a literature review. [PDF]
Environ Syst Res (Heidelb)Anik MSBM, An C, Li SS.
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A multi-scale CNN-GRU fusion model with stationary wavelet transform for 14-day ahead dam water level prediction. [PDF]
Sci RepNg KW +5 more
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Assessment of self-medication practices and safety profile of medicines utilisation among pregnant women attending antenatal clinics in Freetown, Sierra Leone: a multicentre cross-sectional study. [PDF]
J Pharm Policy PractAbiri OT +11 more
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A multi-source data-driven framework for probabilistic flood risk assessment using cascade machine learning models: case study in the Sichuan Basin. [PDF]
Sci RepLu Y, Huang Y, Liu X.
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Flood Modeling: A Comprehensive Review on IDF Curves, HEC-HMS, HEC-RAS, and GIS Integration
IARJSETRajesh Kumar V +3 more
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Evaluation of LSTM vs. conceptual models for hourly rainfall runoff simulations with varied training period lengths. [PDF]
Sci RepFathi MM +5 more
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Aplicação de dois modelos hidrológicos em uma pequena bacia rural no município de Joinville (SC) [PDF]
, 2011 Vescovi, Jorge Miguel
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The impact of land use land cover (LULC) change and climate variability on infiltration/runoff evolution in the Dar Es Salaam coastal floodplain. [PDF]
Sci RepDe Filippi FM +7 more
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ANN-ANFIS model for optimising methylic composite biodiesel from neem and castor oil and predicting emissions of the biodiesel blend. [PDF]
Sci RepZhu CZ +7 more
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