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A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling

Bulletin of engineering geology and the environment, 2019-06, Vol.78 (4), p.2865-2886

2019

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Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility

Catena (Giessen), 2019-01, Vol.172, p.212-231

2019

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Vulnerability of coastal communities to climate change: Thirty-year trend analysis and prospective prediction for the coastal regions of the Persian Gulf and Gulf of Oman

The Science of the total environment, 2020-11, Vol.741, p.140305-140305, Article 140305

2020

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Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

International journal of environmental research and public health, 2020-04, Vol.17 (8), p.2749

2020

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Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics

Remote sensing (Basel, Switzerland), 2019-03, Vol.11 (6), p.618

2019

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Deep learning neural networks for spatially explicit prediction of flash flood probability

Di xue qian yuan., 2021-05, Vol.12 (3), p.101076, Article 101076

2021

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The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes

ISPRS international journal of geo-information, 2019-09, Vol.8 (9), p.391

2019

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Mapping high poplar growth areas for bioenergy cultivation: A swarm-optimized approach

Renewable & sustainable energy reviews, 2023-11, Vol.187, p.113748, Article 113748

Jaafari, Abolfazl

2023

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A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran

Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1573

2022

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Machine Learning Modeling of Forest Road Construction Costs

Forests, 2021-09, Vol.12 (9), p.1169

2021

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Landslide susceptibility assessment using novel hybridized methods based on the support vector regression

Ecological engineering, 2024-11, Vol.208, p.107372, Article 107372

Jaafari, Abolfazl

2024

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LiDAR-supported prediction of slope failures using an integrated ensemble weights-of-evidence and analytical hierarchy process

Environmental earth sciences, 2018, Vol.77 (2), p.1-15, Article 42

Jaafari, Abolfazl

2018

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Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping

Applied sciences, 2020-04, Vol.10 (7), p.2469

2020

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Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction

Symmetry (Basel), 2020-06, Vol.12 (6), p.1022

2020

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Spatial Prediction of Slope Failures in Support of Forestry Operations Safety

Croatian journal of forest engineering, 2017-01, Vol.38 (1), p.107-118

2017

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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, 2019-09, Vol.9 (18), p.3755

2019

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Improved flood susceptibility mapping using a best first decision tree integrated with ensemble learning techniques

Di xue qian yuan., 2021-05, Vol.12 (3), p.101105, Article 101105

2021

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Predicting Slope Stability Failure through Machine Learning Paradigms

ISPRS international journal of geo-information, 2019-09, Vol.8 (9), p.395

2019

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Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran

Forests, 2020-04, Vol.11 (4), p.421

2020

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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, 2020-06, Vol.17 (12), p.4210

2020

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Modeling mangrove responses to multi-decadal climate change and anthropogenic impacts using a long-term time series of satellite imagery

International journal of applied earth observation and geoinformation, 2021-10, Vol.102, p.102390, Article 102390

2021

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GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models

Applied sciences, 2020-03, Vol.10 (6), p.2039

2020

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Modeling Tree Growth Responses to Climate Change: A Case Study in Natural Deciduous Mountain Forests

Forests, 2022-11, Vol.13 (11), p.1816

2022

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A Combination of Biotic and Abiotic Factors and Diversity Determine Productivity in Natural Deciduous Forests

Forests, 2021-11, Vol.12 (11), p.1450

2021

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Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides

International journal of digital earth, 2021-05, Vol.14 (5), p.575-596

2021

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A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling

Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility

Vulnerability of coastal communities to climate change: Thirty-year trend analysis and prospective prediction for the coastal regions of the Persian Gulf and Gulf of Oman

Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics

Deep learning neural networks for spatially explicit prediction of flash flood probability

The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes

Mapping high poplar growth areas for bioenergy cultivation: A swarm-optimized approach

A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran

Machine Learning Modeling of Forest Road Construction Costs

Landslide susceptibility assessment using novel hybridized methods based on the support vector regression

LiDAR-supported prediction of slope failures using an integrated ensemble weights-of-evidence and analytical hierarchy process

Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping

Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction

Spatial Prediction of Slope Failures in Support of Forestry Operations Safety

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

Improved flood susceptibility mapping using a best first decision tree integrated with ensemble learning techniques

Predicting Slope Stability Failure through Machine Learning Paradigms

Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran

Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM+ Images

Modeling mangrove responses to multi-decadal climate change and anthropogenic impacts using a long-term time series of satellite imagery

GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models

Modeling Tree Growth Responses to Climate Change: A Case Study in Natural Deciduous Mountain Forests

A Combination of Biotic and Abiotic Factors and Diversity Determine Productivity in Natural Deciduous Forests

Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides

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