Works matching AU Pourghasemi, Hamid Reza
Results: 110
Landslides and flood multi-hazard assessment using machine learning techniques.
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- Bulletin of Engineering Geology & the Environment, 2022, v. 81, n. 9, p. 1, doi. 10.1007/s10064-022-02874-x
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- Article
A comparative study on machine learning modeling for mass movement susceptibility mapping (a case study of Iran).
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- Bulletin of Engineering Geology & the Environment, 2020, v. 79, n. 10, p. 5291, doi. 10.1007/s10064-020-01915-7
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- Article
Prioritization of effective factors in the occurrence of land subsidence and its susceptibility mapping using an SVM model and their different kernel functions.
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- Bulletin of Engineering Geology & the Environment, 2019, v. 78, n. 6, p. 4017, doi. 10.1007/s10064-018-1403-6
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- Article
A comparative study of landslide susceptibility maps produced using support vector machine with different kernel functions and entropy data mining models in China.
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- Bulletin of Engineering Geology & the Environment, 2018, v. 77, n. 2, p. 647, doi. 10.1007/s10064-017-1010-y
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- Article
Prioritization of landslide conditioning factors and its spatial modeling in Shangnan County, China using GIS-based data mining algorithms.
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- Bulletin of Engineering Geology & the Environment, 2018, v. 77, n. 2, p. 611, doi. 10.1007/s10064-017-1004-9
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- Article
Assessment of land degradation using machine‐learning techniques: A case of declining rangelands.
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- Land Degradation & Development, 2021, v. 32, n. 3, p. 1452, doi. 10.1002/ldr.3794
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- Article
Soil loss tolerance in calcareous soils of a semiarid region: evaluation, prediction, and influential parameters.
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- Land Degradation & Development, 2020, v. 31, n. 15, p. 2156, doi. 10.1002/ldr.3597
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- Article
The potential of straw mulch as a nature‐based solution for soil erosion in olive plantation treated with glyphosate: A biophysical and socioeconomic assessment.
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- Land Degradation & Development, 2020, v. 31, n. 15, p. 1877, doi. 10.1002/ldr.3305
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- Article
GIS‐based susceptibility assessment of the occurrence of gully headcuts and pipe collapses in a semi‐arid environment: Golestan Province, NE Iran.
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- Land Degradation & Development, 2019, v. 30, n. 18, p. 2211, doi. 10.1002/ldr.3397
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- Article
Spatial modelling of gully erosion using evidential belief function, logistic regression, and a new ensemble of evidential belief function–logistic regression algorithm.
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- Land Degradation & Development, 2018, v. 29, n. 11, p. 4035, doi. 10.1002/ldr.3151
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- Article
Testing a New Ensemble Model Based on SVM and Random Forest in Forest Fire Susceptibility Assessment and Its Mapping in Serbia's Tara National Park.
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- Forests (19994907), 2019, v. 10, n. 5, p. 408, doi. 10.3390/f10050408
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- Article
Mapping soil erosion susceptibility: a comparison of neural networks and fuzzy-AHP techniques.
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- Environmental Earth Sciences, 2024, v. 83, n. 19, p. 1, doi. 10.1007/s12665-024-11869-8
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- Article
Identification of morphometric features of alluvial fan and basins in predicting the erosion levels using ANN.
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- Environmental Earth Sciences, 2022, v. 81, n. 3, p. 1, doi. 10.1007/s12665-022-10219-w
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- Article
Landslide susceptibility mapping using statistical bivariate models and their hybrid with normalized spatial-correlated scale index and weighted calibrated landslide potential model.
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- Environmental Earth Sciences, 2021, v. 80, n. 8, p. 1, doi. 10.1007/s12665-021-09603-9
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- Article
Land-subsidence susceptibility zonation using remote sensing, GIS, and probability models in a Google Earth Engine platform.
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- Environmental Earth Sciences, 2020, v. 79, n. 21, p. 1, doi. 10.1007/s12665-020-09238-2
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- Article
Morphometric attributes-based soil erosion susceptibility mapping in Dnyanganga watershed of India using individual and ensemble models.
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- Environmental Earth Sciences, 2020, v. 79, n. 14, p. N.PAG, doi. 10.1007/s12665-020-09102-3
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A comparison of machine learning models for the mapping of groundwater spring potential.
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- Environmental Earth Sciences, 2020, v. 79, n. 10, p. 1, doi. 10.1007/s12665-020-08944-1
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- Article
Comparison analytic network and analytical hierarchical process approaches with feature selection algorithm to predict groundwater quality.
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- Environmental Earth Sciences, 2019, v. 78, n. 21, p. N.PAG, doi. 10.1007/s12665-019-8639-8
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- Article
Land subsidence susceptibility assessment using random forest machine learning algorithm.
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- Environmental Earth Sciences, 2019, v. 78, n. 16, p. N.PAG, doi. 10.1007/s12665-019-8518-3
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- Article
A novel hybrid bivariate statistical method entitled FROC for landslide susceptibility assessment.
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- Environmental Earth Sciences, 2018, v. 77, n. 19, p. 1, doi. 10.1007/s12665-018-7852-1
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- Article
GIS-based gully erosion susceptibility mapping: a comparison among three data-driven models and AHP knowledge-based technique.
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- Environmental Earth Sciences, 2018, v. 77, n. 17, p. 1, doi. 10.1007/s12665-018-7808-5
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- Article
Applying different scenarios for landslide spatial modeling using computational intelligence methods.
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- Environmental Earth Sciences, 2017, v. 76, n. 24, p. 0, doi. 10.1007/s12665-017-7177-5
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- Article
Maxent Data Mining Technique and Its Comparison with a Bivariate Statistical Model for Predicting the Potential Distribution of AstragalusFasciculifolius Boiss. in Fars, Iran.
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- Sustainability (2071-1050), 2019, v. 11, n. 12, p. 3452, doi. 10.3390/su11123452
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- Article
Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms.
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- Sustainability (2071-1050), 2018, v. 10, n. 10, p. 3697, doi. 10.3390/su10103697
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Assessing and mapping multi-hazard risk susceptibility using a machine learning technique.
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- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-60191-3
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- Article
Wildland Fire Susceptibility Mapping Using Support Vector Regression and Adaptive Neuro-Fuzzy Inference System-Based Whale Optimization Algorithm and Simulated Annealing.
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- ISPRS International Journal of Geo-Information, 2021, v. 10, n. 6, p. 382, doi. 10.3390/ijgi10060382
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- Article
Geohazards Susceptibility Assessment along the Upper Indus Basin Using Four Machine Learning and Statistical Models.
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- ISPRS International Journal of Geo-Information, 2021, v. 10, n. 5, p. 315, doi. 10.3390/ijgi10050315
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- Article
Author Correction: Using machine learning to predict processes and morphometric features of watershed.
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- 2023
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- Correction Notice
Using machine learning to predict processes and morphometric features of watershed.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-35634-2
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- Article
Using machine learning to predict processes and morphometric features of watershed.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-35634-2
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- Article
GIS-based multivariate adaptive regression spline and random forest models for groundwater potential mapping in Iran.
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- Environmental Earth Sciences, 2016, v. 75, n. 8, p. 1, doi. 10.1007/s12665-016-5424-9
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- Article
RUSLE model coupled with RS-GIS for soil erosion evaluation compared with T value in Southwest Iran.
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- Arabian Journal of Geosciences, 2021, v. 14, n. 3, p. 1, doi. 10.1007/s12517-020-06405-4
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- Article
RUSLE model coupled with RS-GIS for soil erosion evaluation compared with T value in Southwest Iran.
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- Arabian Journal of Geosciences, 2021, v. 14, n. 2, p. 1, doi. 10.1007/s12517-020-06405-4
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- Article
Correction to: Comparing performance of random forest and adaptive neuro-fuzzy inference system data mining models for flood susceptibility mapping.
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- 2020
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- Correction Notice
Analysis and evaluation of landslide susceptibility: a review on articles published during 2005-2016 (periods of 2005-2012 and 2013-2016).
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- Arabian Journal of Geosciences, 2018, v. 11, n. 9, p. 1, doi. 10.1007/s12517-018-3531-5
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- Article
Social networks' analysis of rural stakeholders in watershed management.
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- Environment, Development & Sustainability, 2021, v. 23, n. 12, p. 17535, doi. 10.1007/s10668-021-01399-9
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- Article
A linear/non-linear hybrid time-series model to investigate the depletion of inland water bodies.
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- Environment, Development & Sustainability, 2021, v. 23, n. 7, p. 10727, doi. 10.1007/s10668-020-01081-6
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- Article
Factors affecting methane emissions in OPEC member countries: does the agricultural production matter?
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- Environment, Development & Sustainability, 2021, v. 23, n. 5, p. 6734, doi. 10.1007/s10668-020-00887-8
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- Article
Uncovering the Depletion Patterns of Inland Water Bodies via Remote Sensing, Data Mining, and Statistical Analysis.
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- Water (20734441), 2023, v. 15, n. 8, p. 1508, doi. 10.3390/w15081508
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- Article
Gully Erosion Susceptibility Mapping Using Multivariate Adaptive Regression Splines—Replications and Sample Size Scenarios.
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- Water (20734441), 2019, v. 11, n. 11, p. 2319, doi. 10.3390/w11112319
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- Article
Landslide Susceptibility Mapping Using GIS-Based Data Mining Algorithms.
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- Water (20734441), 2019, v. 11, n. 11, p. 2292, doi. 10.3390/w11112292
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- Article
A Comparative Assessment of Random Forest and k-Nearest Neighbor Classifiers for Gully Erosion Susceptibility Mapping.
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- Water (20734441), 2019, v. 11, n. 10, p. 2076, doi. 10.3390/w11102076
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- Article
Predicting Habitat Suitability and Conserving Juniperus spp. Habitat Using SVM and Maximum Entropy Machine Learning Techniques.
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- Water (20734441), 2019, v. 11, n. 10, p. 2049, doi. 10.3390/w11102049
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- Article
Application of proximal sensing approach to predict cation exchange capacity of calcareous soils using linear and nonlinear data mining algorithms.
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- Journal of Soils & Sediments: Protection, Risk Assessment, & Remediation, 2024, v. 24, n. 6, p. 2248, doi. 10.1007/s11368-024-03825-7
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- Article
Spatial modeling of susceptibility to subsidence using machine learning techniques.
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- Stochastic Environmental Research & Risk Assessment, 2021, v. 35, n. 8, p. 1689, doi. 10.1007/s00477-020-01967-x
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- Article
Efficiency of maximum entropy algorithm and GIS in assessing the landslide susceptibility.
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- Journal of Water & Soil Conservation, 2022, v. 28, n. 4, p. 53, doi. 10.22069/jwsc.2022.19292.3478
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- Article
Multi-hazard spatial modeling via ensembles of machine learning and meta-heuristic techniques.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-05364-y
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- Article
A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-94266-6
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- Article
Assessment of the outbreak risk, mapping and infection behavior of COVID-19: Application of the autoregressive integrated-moving average (ARIMA) and polynomial models.
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- PLoS ONE, 2020, v. 15, n. 7, p. 1, doi. 10.1371/journal.pone.0236238
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- Article
Flood vulnerability mapping and urban sprawl suitability using FR, LR, and SVM models.
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- Environmental Science & Pollution Research, 2023, v. 30, n. 6, p. 16081, doi. 10.1007/s11356-022-23140-3
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- Article