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Improving the coastal aquifers' vulnerability assessment using SCMAI ensemble of three machine learning approaches.
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- Natural Hazards, 2022, v. 110, n. 3, p. 1799, doi. 10.1007/s11069-021-05013-z
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- Article
Application of deep learning approaches to predict monthly stream flows.
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- Environmental Monitoring & Assessment, 2023, v. 195, n. 6, p. 1, doi. 10.1007/s10661-023-11331-5
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- Article
Comparison of SWAT Model-Predicted Potential Evapotranspiration Using Real and Modeled Meteorological Data.
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- Vadose Zone Journal, 2008, v. 7, n. 2, p. 19, doi. 10.2136/vzj2007.0012
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- Article
Measuring conservation success beyond the traditional biological criteria: the case of conservation projects in Costa Rica, Mekong Valley, and Cameroon.
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- Natural Resources Forum, 2018, v. 42, n. 1, p. 19, doi. 10.1111/1477-8947.12132
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- Article
Application of support vector machine and relevance vector machine to determine evaporative losses in reservoirs.
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- Hydrological Processes, 2012, v. 26, n. 9, p. 1361, doi. 10.1002/hyp.8278
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- Article
DETERMINATION OF CONTAMINATATED WELLS TO NO<sub>3</sub>-N: A NOVEL VULNERABILITY ASSESSMENT TOOL.
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- Journal of Urban & Environmental Engineering, 2014, v. 8, n. 2, p. 243, doi. 10.4090/juee.2014.v8n2.243249
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- Article
Police Violence as Containment of Black Bodies during Urban Renewal: A Spatial Analysis of Civilian Deaths by Police in Florida.
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- Southeastern Geographer, 2023, v. 63, n. 4, p. 386, doi. 10.1353/sgo.2023.a912267
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- Article
GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran.
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- Environmental Monitoring & Assessment, 2016, v. 188, n. 1, p. 44, doi. 10.1007/s10661-015-5049-6
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- Article
Application of Soft Computing Models for Simulating Nitrate Contamination in Groundwater: Comprehensive Review, Assessment and Future Opportunities.
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- Archives of Computational Methods in Engineering, 2021, v. 28, n. 5, p. 3569, doi. 10.1007/s11831-020-09513-2
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- Article