1 |
Towards robust smart data-driven soil erodibility index prediction under different scenarios
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Geocarto International
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2 |
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
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3 |
Predicting sustainable arsenic mitigation using machine learning techniques
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ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
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4 |
A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers
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Geocarto International
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5 |
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-Basel
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6 |
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
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7 |
A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers
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Sustainability
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8 |
Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
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Sustainability
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9 |
Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
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CATENA
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