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Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling.
- Published in:
- Bulletin of Engineering Geology & the Environment, 2019, v. 78, n. 6, p. 4397, doi. 10.1007/s10064-018-1401-8
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- Article
Performance Evaluation and Comparison of Bivariate Statistical-Based Artificial Intelligence Algorithms for Spatial Prediction of Landslides.
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- ISPRS International Journal of Geo-Information, 2020, v. 9, n. 12, p. 696, doi. 10.3390/ijgi9120696
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- Article
Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms.
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- ISPRS International Journal of Geo-Information, 2020, v. 9, n. 8, p. 479, doi. 10.3390/ijgi9080479
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- Article
Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping.
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- Symmetry (20738994), 2020, v. 12, n. 3, p. 325, doi. 10.3390/sym12030325
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- Article
Sinkhole susceptibility mapping: A comparison between Bayes‐based machine learning algorithms.
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- Land Degradation & Development, 2019, v. 30, n. 7, p. 730, doi. 10.1002/ldr.3255
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- Article
Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach.
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- Water Resources Management, 2019, v. 33, n. 1, p. 281, doi. 10.1007/s11269-018-2102-6
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- Article
Landslide susceptibility modeling based on remote sensing data and data mining techniques.
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- Environmental Earth Sciences, 2022, v. 81, n. 2, p. 1, doi. 10.1007/s12665-022-10195-1
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- Article
A comparison study on the quantitative statistical methods for spatial prediction of shallow landslides (case study: Yozidar-Degaga Route in Kurdistan Province, Iran).
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- Environmental Earth Sciences, 2022, v. 81, n. 2, p. 1, doi. 10.1007/s12665-021-10152-4
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- Article
A comparative study of support vector machine and logistic model tree classifiers for shallow landslide susceptibility modeling.
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- Environmental Earth Sciences, 2019, v. 78, n. 18, p. N.PAG, doi. 10.1007/s12665-019-8562-z
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- Article
Rock fall susceptibility assessment along a mountainous road: an evaluation of bivariate statistic, analytical hierarchy process and frequency ratio.
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- Environmental Earth Sciences, 2017, v. 76, n. 4, p. 1, doi. 10.1007/s12665-017-6471-6
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- Publication type:
- Article
Shallow landslide susceptibility assessment using a novel hybrid intelligence approach.
- Published in:
- Environmental Earth Sciences, 2017, v. 76, n. 2, p. 1, doi. 10.1007/s12665-016-6374-y
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- Article
Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms.
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- Remote Sensing, 2023, v. 15, n. 12, p. 3112, doi. 10.3390/rs15123112
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- Article
Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms.
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- Remote Sensing, 2021, v. 13, n. 7, p. 1349, doi. 10.3390/rs13071349
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- Article
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran.
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- Remote Sensing, 2020, v. 12, n. 15, p. 2478, doi. 10.3390/rs12152478
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- Article
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier.
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- Remote Sensing, 2020, v. 12, n. 2, p. 266, doi. 10.3390/rs12020266
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- Article
Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model.
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- Remote Sensing, 2019, v. 11, n. 13, p. 1589, doi. 10.3390/rs11131589
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- Article
Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm.
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- Remote Sensing, 2019, v. 11, n. 8, p. 931, doi. 10.3390/rs11080931
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- Article
A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides.
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- Remote Sensing, 2018, v. 10, n. 10, p. 1538, doi. 10.3390/rs10101538
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- Article
Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia.
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- Remote Sensing, 2018, v. 10, n. 10, p. 1527, doi. 10.3390/rs10101527
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- Article
A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran.
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- Sensors (14248220), 2022, v. 22, n. 4, p. N.PAG, doi. 10.3390/s22041573
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- Publication type:
- Article
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran).
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- Sensors (14248220), 2019, v. 19, n. 11, p. 2444, doi. 10.3390/s19112444
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- Article
Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping.
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- Sensors (14248220), 2018, v. 18, n. 11, p. 3777, doi. 10.3390/s18113777
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- Article
Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms.
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- Sensors (14248220), 2018, v. 18, n. 8, p. 2464, doi. 10.3390/s18082464
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- Article
Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran.
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- Applied Sciences (2076-3417), 2020, v. 10, n. 15, p. 5047, doi. 10.3390/app10155047
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- Article
GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models.
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- Applied Sciences (2076-3417), 2020, v. 10, n. 6, p. 2039, doi. 10.3390/app10062039
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- Article
Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO).
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- Applied Sciences (2076-3417), 2019, v. 9, n. 18, p. 3755, doi. 10.3390/app9183755
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- Article
SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment.
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- Applied Sciences (2076-3417), 2019, v. 9, n. 17, p. 3495, doi. 10.3390/app9173495
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- Article
Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction.
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- Applied Sciences (2076-3417), 2019, v. 9, n. 14, p. 2824, doi. 10.3390/app9142824
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- Article
Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression.
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- Applied Sciences (2076-3417), 2018, v. 8, n. 12, p. 2540, doi. 10.3390/app8122540
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- Article
Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models.
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- Water (20734441), 2020, v. 12, n. 4, p. 985, doi. 10.3390/w12040985
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- Article
A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping.
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- Water (20734441), 2019, v. 11, n. 10, p. 2013, doi. 10.3390/w11102013
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- Article
New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling.
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- Water (20734441), 2018, v. 10, n. 9, p. 1210, doi. 10.3390/w10091210
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- Article
Author Correction: Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods.
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- 2021
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- Correction Notice
Author Correction: Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods.
- Published in:
- 2021
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- Publication type:
- Correction Notice
A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers.
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- Sustainability (2071-1050), 2020, v. 12, n. 3, p. 1063, doi. 10.3390/su12031063
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- Article
Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms.
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- Sustainability (2071-1050), 2019, v. 11, n. 16, p. 4386, doi. 10.3390/su11164386
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- Article
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment.
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- International Journal of Environmental Research & Public Health, 2020, v. 17, n. 14, p. 4933, doi. 10.3390/ijerph17144933
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- Article
Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM+ Images.
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- International Journal of Environmental Research & Public Health, 2020, v. 17, n. 12, p. 4210, doi. 10.3390/ijerph17124210
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- Publication type:
- Article
Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms.
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- International Journal of Environmental Research & Public Health, 2020, v. 17, n. 8, p. 2749, doi. 10.3390/ijerph17082749
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- Article
Performance improvement of the linear muskingum flood routing model using optimization algorithms and data assimilation approaches.
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- Natural Hazards, 2023, v. 118, n. 3, p. 2657, doi. 10.1007/s11069-023-06113-8
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- Publication type:
- Article
Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods.
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- Natural Hazards, 2019, v. 96, n. 1, p. 173, doi. 10.1007/s11069-018-3536-0
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- Publication type:
- Article
A GIS-based logistic regression model in rock-fall susceptibility mapping along a mountainous road: Salavat Abad case study, Kurdistan, Iran.
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- Natural Hazards, 2012, v. 64, n. 2, p. 1639, doi. 10.1007/s11069-012-0321-3
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- Publication type:
- Article
Spatial Prediction of Landslides Using Hybrid Multi-Criteria Decision-Making Methods: A Case Study of the Saqqez-Marivan Mountain Road in Iran.
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- Land (2012), 2023, v. 12, n. 6, p. 1151, doi. 10.3390/land12061151
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- Article
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods.
- Published in:
- Scientific Reports, 2018, v. 8, n. 1, p. 1, doi. 10.1038/s41598-018-33755-7
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- Publication type:
- Article
Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms.
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- Forests (19994907), 2020, v. 11, n. 8, p. 830, doi. 10.3390/f11080830
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- Publication type:
- Article
Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran.
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- Forests (19994907), 2020, v. 11, n. 4, p. 421, doi. 10.3390/f11040421
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- Publication type:
- Article
New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed.
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- Forests (19994907), 2019, v. 10, n. 9, p. 743, doi. 10.3390/f10090743
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- Article
Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling.
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- Forests (19994907), 2019, v. 10, n. 2, p. 157, doi. 10.3390/f10020157
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- Publication type:
- Article