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Fuzzy set theory and pixel-based landslide risk assessment: the case of Shafe and Baso catchments, Gamo highland, Ethiopia
Earth Science Informatics,
2022
DOI:10.1007/s12145-022-00774-y
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Quantitative Land-Use and Landslide Assessment: A Case Study in Rize, Türkiye
Water,
2022
DOI:10.3390/w14111811
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Building Knowledge for Geohazard Assessment and Management in the Caucasus and other Orogenic Regions
NATO Science for Peace and Security Series C: Environmental Security,
2021
DOI:10.1007/978-94-024-2046-3_14
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Assessing subsidence susceptibility to coal mining using frequency ratio, statistical index and Mamdani fuzzy models: evidence from Raniganj coalfield, India
Environmental Earth Sciences,
2020
DOI:10.1007/s12665-020-09119-8
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A Modeling Comparison of Groundwater Potential Mapping in a Mountain Bedrock Aquifer: QUEST, GARP, and RF Models
Water,
2020
DOI:10.3390/w12030679
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Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution
CATENA,
2019
DOI:10.1016/j.catena.2019.03.017
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Study on housing units locate in very high and high landslide hazard prone areas of Hali-Ela divisional secretariat division, Sri Lanka
Procedia Engineering,
2018
DOI:10.1016/j.proeng.2018.01.004
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A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling
Geocarto International,
2018
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Spatial prediction of groundwater spring potential mapping based on an adaptive neuro-fuzzy inference system and metaheuristic optimization
Hydrology and Earth System Sciences,
2018
DOI:10.5194/hess-22-4771-2018
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Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods
Theoretical and Applied Climatology,
2017
DOI:10.1007/s00704-015-1702-9
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Evaluating effectiveness of frequency ratio, fuzzy logic and logistic regression models in assessing landslide susceptibility: a case from Rudraprayag district, India
Journal of Mountain Science,
2017
DOI:10.1007/s11629-017-4404-1
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