Found: 11
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Spatial mapping of gully erosion susceptibility using an efficient metaheuristic neural network.
- Published in:
- Environmental Earth Sciences, 2023, v. 82, n. 20, p. 1, doi. 10.1007/s12665-023-11106-8
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- Article
Application of TOPSIS method in evaluation and prioritization of social stability in rural areas (Case Study: Zidasht Basin).
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- Journal of Applied Sciences & Environmental Management, 2017, v. 21, n. 1, p. 49, doi. 10.4314/jasem.v21i1.6
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- Article
A hybrid intelligent model for spatial analysis of groundwater potential around Urmia Lake, Iran.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 5, p. 1821, doi. 10.1007/s00477-022-02368-y
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- Article
K-Fold and State-of-the-Art Metaheuristic Machine Learning Approaches for Groundwater Potential Modelling.
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- Water Resources Management, 2021, v. 35, n. 6, p. 1837, doi. 10.1007/s11269-021-02815-5
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- Article
Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility.
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- Remote Sensing, 2020, v. 12, n. 17, p. 2833, doi. 10.3390/rs12172833
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- Article
Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility.
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- Remote Sensing, 2020, v. 12, n. 11, p. 1890, doi. 10.3390/rs12111890
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- Article
Urban Flood Hazard Modeling Using Self-Organizing Map Neural Network.
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- Water (20734441), 2019, v. 11, n. 11, p. 2370, doi. 10.3390/w11112370
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- Article
GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors.
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- Sustainability (2071-1050), 2019, v. 11, n. 20, p. 5639, doi. 10.3390/su11205639
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- Article
A step beyond susceptibility: an adaptation of risk framework for monetary risk estimation of gully erosion.
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- Natural Hazards, 2022, v. 111, n. 2, p. 1661, doi. 10.1007/s11069-021-05110-z
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- Article
Application of the novel state-of-the-art soft computing techniques for groundwater potential assessment.
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- Arabian Journal of Geosciences, 2022, v. 15, n. 10, p. 1, doi. 10.1007/s12517-021-09005-y
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- Article
Optimizing machine learning algorithms for spatial prediction of gully erosion susceptibility with four training scenarios.
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- Environmental Science & Pollution Research, 2023, v. 30, n. 16, p. 46979, doi. 10.1007/s11356-022-25090-2
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- Article