| 1 |
Improving the performance of artificial intelligence models using the rotation forest technique for landslide susceptibility mapping
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International Journal of Environmental Science and Technology
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| 2 |
Performance improvement of the linear muskingum flood routing model using optimization algorithms and data assimilation approaches
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Natural Hazards
|
| 3 |
Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms
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Remote Sensing
|
| 4 |
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
|
| 5 |
Rangeland species potential mapping using machine learning algorithms
|
ECOLOGICAL ENGINEERING
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| 6 |
Towards robust smart data-driven soil erodibility index prediction under different scenarios
|
Geocarto International
|
| 7 |
Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?
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JOURNAL OF HYDROLOGY
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| 8 |
Application of a Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountainous Area
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Frontiers in Environmental Science
|
| 9 |
A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran
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SENSORS
|
| 10 |
Predicting sustainable arsenic mitigation using machine learning techniques
|
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
|
| 11 |
Landslide susceptibility modeling based on remote sensing data and data mining techniques
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Environmental Earth Sciences
|
| 12 |
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
|
| 13 |
Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides
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APPLIED SOFT COMPUTING
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| 14 |
Efficiency of artificial neural networks in determining scour depth at composite bridge piers
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International Journal of River Basin Management
|
| 15 |
Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning
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SCIENCE OF THE TOTAL ENVIRONMENT
|
| 16 |
A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers
|
Geocarto International
|
| 17 |
Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm
|
Geoscience Frontiers
|
| 18 |
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
|
| 19 |
Deep learning neural networks for spatially explicit prediction of flash flood probability
|
Geoscience Frontiers
|
| 20 |
A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping
|
Engineering Applications of Artificial Intelligence
|
| 21 |
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
|
| 22 |
New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed
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FORESTS
|
| 23 |
A comparative study of support vector machine and logistic model tree classifiers for shallow landslide susceptibility modeling
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Environmental Earth Sciences
|
| 24 |
Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
|
Applied Sciences-Basel
|
| 25 |
Towards an Ensemble Machine Learning Model of Random Subspace Based Functional Tree Classifier for Snow Avalanche Susceptibility Mapping
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IEEE Access
|
| 26 |
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran
|
Remote Sensing
|
| 27 |
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
|
Applied Sciences-Basel
|
| 28 |
Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms
|
ISPRS International Journal of Geo-Information
|
| 29 |
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 and Public Health
|
| 30 |
Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms
|
FORESTS
|
| 31 |
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
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International Journal of Environmental Research and Public Health
|
| 32 |
Hybridized neural fuzzy ensembles for dust source modeling and prediction
|
ATMOSPHERIC ENVIRONMENT
|
| 33 |
Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models
|
Water
|
| 34 |
Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran
|
FORESTS
|
| 35 |
Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping
|
Symmetry-Basel
|
| 36 |
A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers
|
Sustainability
|
| 37 |
GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models
|
Applied Sciences-Basel
|
| 38 |
Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM+ Images
|
International Journal of Environmental Research and Public Health
|
| 39 |
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
|
SCIENCE OF THE TOTAL ENVIRONMENT
|
| 40 |
A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India
|
International Journal of Sediment Research
|
| 41 |
Development of an Artificial Intelligence Approach for Prediction of Consolidation Coefficient of Soft Soil: A Sensitivity Analysis
|
The Open Construction & Building Technology Journal
|
| 42 |
Flood susceptibility assessment in Hengfeng area coupling adaptiveneuro-fuzzy inference system with genetic algorithm and differential evolution
|
SCIENCE OF THE TOTAL ENVIRONMENT
|
| 43 |
SWPT: An automated GIS-based tool for prioritization of sub-watersheds based on morphometric and topo-hydrological factors
|
Geoscience Frontiers
|
| 44 |
Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree
|
Geocarto International
|
| 45 |
A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping
|
Water
|
| 46 |
SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment
|
SENSORS
|
| 47 |
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
|
Remote Sensing
|
| 48 |
A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment
|
Geocarto International
|
| 49 |
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)
|
SENSORS
|
| 50 |
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
|
Remote Sensing
|
| 51 |
Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
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Sustainability
|
| 52 |
Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction
|
Applied Sciences-Basel
|
| 53 |
Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)
|
Geocarto International
|
| 54 |
Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling
|
Bulletin of Engineering Geology and the Environment
|
| 55 |
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
|
JOURNAL OF ENVIRONMENTAL MANAGEMENT
|
| 56 |
A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment
|
Geocarto International
|
| 57 |
Land cover change mapping using a combination of Sentinel-1 data and multispectral satellite imagery: A case study of Sanandaj County, Kurdistan, Iran
|
Applied Ecology and Environmental Research
|
| 58 |
Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling
|
FORESTS
|
| 59 |
Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression
|
Applied Sciences-Basel
|
| 60 |
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
|
JOURNAL OF HYDROLOGY
|
| 61 |
Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution
|
CATENA
|
| 62 |
Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach
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WATER RESOURCES MANAGEMENT
|
| 63 |
Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm
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Remote Sensing
|
| 64 |
Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
|
SCIENCE OF THE TOTAL ENVIRONMENT
|
| 65 |
Sinkhole susceptibility mapping: a comparison between Bayes-based machine learning algorithms
|
LAND DEGRADATION & DEVELOPMENT
|
| 66 |
Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
|
CATENA
|
| 67 |
Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods
|
Natural Hazards
|
| 68 |
Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping
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SENSORS
|
| 69 |
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods
|
Scientific Reports
|
| 70 |
Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia
|
Remote Sensing
|
| 71 |
A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides
|
Remote Sensing
|
| 72 |
New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling
|
Water
|
| 73 |
Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms
|
SENSORS
|
| 74 |
Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping
|
JOURNAL OF ENVIRONMENTAL MANAGEMENT
|
| 75 |
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
|
SCIENCE OF THE TOTAL ENVIRONMENT
|
| 76 |
A novel hybrid artificial intelligence approach based on the rotation forest ensemble and na€ ıve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China
|
Geomatics, Natural Hazards and Risk
|
| 77 |
A Novel Hybrid Artificial Intelligence Approach for Flood Susceptibility Assessment
|
ENVIRONMENTAL MODELLING & SOFTWARE
|
| 78 |
Rock fall susceptibility assessment along a mountainous road: an evaluation of bivariate statistic, analytical hierarchy process and frequency ratio
|
Environmental Earth Sciences
|
| 79 |
A comparative study between popular statistical and machine learning methods for simulating volume of landslides
|
CATENA
|
| 80 |
Shallow landslide susceptibility assessment using a novel hybrid intelligence approach
|
Environmental Earth Sciences
|
| 81 |
A GIS-based logistic regression model in rock-fall susceptibility mapping along a mountainous road: Salavat Abad case study, Kurdistan, Iran
|
Natural Hazards
|