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Suspended Sediment Modeling Using Sequential Minimal Optimization Regression and Isotonic Regression Algorithms Integrated with an Iterative Classifier Optimizer.
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- Pure & Applied Geophysics, 2022, v. 179, n. 10, p. 3751, doi. 10.1007/s00024-022-03131-8
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- Article
Hybrid Iterative and Tree-Based Machine Learning Algorithms for Lake Water Level Forecasting.
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- Water Resources Management, 2023, v. 37, n. 14, p. 5431, doi. 10.1007/s11269-023-03613-x
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- Article
A Country Wide Evaluation of Sweden's Spatial Flood Modeling With Optimized Convolutional Neural Network Algorithms.
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- Earth's Future, 2023, v. 11, n. 11, p. 1, doi. 10.1029/2023EF003749
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- Article
Utilization of the Google Earth Engine for the evaluation of daily soil temperature derived from Global Land Data Assimilation System in two different depths over a semiarid region.
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- Meteorological Applications, 2024, v. 31, n. 4, p. 1, doi. 10.1002/met.2221
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- Article
AI-driven predictions of geophysical river flows with vegetation.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-67269-2
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- Article
Shear stress distribution prediction in symmetric compound channels using data mining and machine learning models.
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- Frontiers of Structural & Civil Engineering, 2020, v. 14, n. 5, p. 1097, doi. 10.1007/s11709-020-0634-3
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- Article
Intelligent flow discharge computation in a rectangular channel with free overfall condition.
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- Neural Computing & Applications, 2022, v. 34, n. 15, p. 12601, doi. 10.1007/s00521-022-07112-9
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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
Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon<sup>'</sup>s entropy, statistical index, and weighting factor models.
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- Environmental Monitoring & Assessment, 2016, v. 188, n. 12, p. 1, doi. 10.1007/s10661-016-5665-9
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- Article
A comprehensive study of new hybrid models for Adaptive Neuro-Fuzzy Inference System (ANFIS) with Invasive Weed Optimization (IWO), Differential Evolution (DE), Firefly (FA), Particle Swarm Optimization (PSO) and Bees (BA) algorithms for spatial prediction of groundwater spring potential mapping.
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- Hydrology & Earth System Sciences Discussions, 2018, p. 1, doi. 10.5194/hess-2017-707
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- Article
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods.
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- Scientific Reports, 2018, v. 8, n. 1, p. 1, doi. 10.1038/s41598-018-33755-7
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- Publication type:
- Article
Applying the C-Factor of the RUSLE Model to Improve the Prediction of Suspended Sediment Concentration Using Smart Data-Driven Models.
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- Water (20734441), 2022, v. 14, n. 19, p. 3011, doi. 10.3390/w14193011
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- Article
Experimental Analysis of Incipient Motion for Uniform and Graded Sediments.
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- Water (20734441), 2021, v. 13, n. 13, p. 1874, doi. 10.3390/w13131874
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- Article
River Water Salinity Prediction Using Hybrid Machine Learning Models.
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- Water (20734441), 2020, v. 12, n. 10, p. 2951, doi. 10.3390/w12102951
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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
Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models.
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- Water (20734441), 2019, v. 11, n. 7, p. 1402, doi. 10.3390/w11071402
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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
Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping.
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- Hydrogeology Journal, 2019, v. 27, n. 7, p. 2511, doi. 10.1007/s10040-019-02017-9
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- Article
Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning Algorithms.
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- Water Resources Management, 2022, v. 36, n. 2, p. 699, doi. 10.1007/s11269-021-03051-7
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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
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
Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners.
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- Ground Water, 2020, v. 58, n. 5, p. 723, doi. 10.1111/gwat.12963
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- Article
The use of hybrid machine learning models for improving the GALDIT model for coastal aquifer vulnerability mapping.
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- Environmental Earth Sciences, 2022, v. 81, n. 15, p. 1, doi. 10.1007/s12665-022-10534-2
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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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- Article
A GIS-based groundwater pollution potential using DRASTIC, modified DRASTIC, and bivariate statistical models.
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- Environmental Science & Pollution Research, 2021, v. 28, n. 36, p. 50525, doi. 10.1007/s11356-021-13706-y
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- Article
Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction.
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- Environmental Science & Pollution Research, 2021, v. 28, n. 9, p. 11637, doi. 10.1007/s11356-020-11335-5
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- Article
Spatial prediction of groundwater spring potential mapping based on an adaptive neuro-fuzzy inference system and metaheuristic optimization.
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- Hydrology & Earth System Sciences, 2018, v. 22, n. 9, p. 4771, doi. 10.5194/hess-22-4771-2018
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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
Evaluation of deep machine learning-based models of soil cumulative infiltration.
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- Earth Science Informatics, 2022, v. 15, n. 3, p. 1861, doi. 10.1007/s12145-022-00830-7
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- Article
Stacking ensemble-based hybrid algorithms for discharge computation in sharp-crested labyrinth weirs.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2022, v. 26, n. 22, p. 12271, doi. 10.1007/s00500-022-07073-0
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- Article
Torrential rainfall-triggered shallow landslide characteristics and susceptibility assessment using ensemble data-driven models in the Dongjiang Reservoir Watershed, China.
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- Natural Hazards, 2019, v. 97, n. 2, p. 579, doi. 10.1007/s11069-019-03659-4
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- Article
A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique.
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- Natural Hazards, 2016, v. 83, n. 2, p. 947, doi. 10.1007/s11069-016-2357-2
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- Article
The Importance of Incorporating Denitrification in the Assessment of Groundwater Vulnerability.
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- Applied Sciences (2076-3417), 2020, v. 10, n. 7, p. 2328, doi. 10.3390/app10072328
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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
Landslide prediction capability by comparison of frequency ratio, fuzzy gamma and landslide index method.
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- Journal of Earth System Science, 2019, v. 128, n. 2, p. 1, doi. 10.1007/s12040-018-1047-8
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- Article
Prediction of embankments dam break peak outflow: a comparison between empirical equations and ensemble-based machine learning algorithms.
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- Natural Hazards, 2023, v. 118, n. 3, p. 1989, doi. 10.1007/s11069-023-06060-4
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- Article
The potential of novel data mining models for global solar radiation prediction.
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- International Journal of Environmental Science & Technology (IJEST), 2019, v. 16, n. 11, p. 7147, doi. 10.1007/s13762-019-02344-0
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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
Snow water equivalent prediction in a mountainous area using hybrid bagging machine learning approaches.
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- Acta Geophysica, 2023, v. 71, n. 2, p. 1015, doi. 10.1007/s11600-022-00934-0
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- Article