Search Results - "Naghibi, Seyed Amir"

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN) by Kalantar, Bahareh, Pradhan, Biswajeet, Naghibi, Seyed Amir, Motevalli, Alireza, Mansor, Shattri

“…Landslide is a natural hazard that results in many economic damages and human losses every year. Numerous researchers have studied landslide susceptibility…”
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GIS-based Groundwater Spring Potential Mapping Using Data Mining Boosted Regression Tree and Probabilistic Frequency Ratio Models in Iran by Mohsen Mousavi, Seyed, Golkarian, Ali, Amir Naghibi, Seyed, Kalantar, Bahareh, Pradhan, Biswajeet

“…This study intends to investigate the performance of boosted regression tree (BRT) and frequency ratio (FR) models in groundwater potential mapping. For this…”
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Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS by Golkarian, Ali, Naghibi, Seyed Amir, Kalantar, Bahareh, Pradhan, Biswajeet

“…Ever increasing demand for water resources for different purposes makes it essential to have better understanding and knowledge about water resources. As…”
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A comparative study of landslide susceptibility maps produced using support vector machine with different kernel functions and entropy data mining models in China by Chen, Wei, Pourghasemi, Hamid Reza, Naghibi, Seyed Amir

“…The main aim of this study was to apply and compare two GIS-based data mining models, namely support vector machine (SVM) by four kernel functions (linear-SVM,…”
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A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS by Naghibi, Seyed Amir, Pourghasemi, Hamid Reza, Abbaspour, Karim

“…Considering the unstable condition of water resources in Iran and many other countries in arid and semi-arid regions, groundwater studies are very important…”
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Groundwater potential mapping using a novel data-mining ensemble model by Kordestani, Mojtaba Dolat, Naghibi, Seyed Amir, Hashemi, Hossein, Ahmadi, Kourosh, Kalantar, Bahareh, Pradhan, Biswajeet

“…Freshwater scarcity is an ever-increasing problem throughout the arid and semi-arid countries, and it often results in poverty. Thus, it is necessary to…”
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Prioritization of landslide conditioning factors and its spatial modeling in Shangnan County, China using GIS-based data mining algorithms by Chen, Wei, Pourghasemi, Hamid Reza, Naghibi, Seyed Amir

“…The main objective of the current study is to apply a random forest (RF) data-driven model and prioritization of landslide conditioning factors according to…”
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Application of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data by Kamali Maskooni, Ehsan, Naghibi, Seyed Amir, Hashemi, Hossein, Berndtsson, Ronny

“…Groundwater (GW) is being uncontrollably exploited in various parts of the world resulting from huge needs for water supply as an outcome of population growth…”
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Application of rotation forest with decision trees as base classifier and a novel ensemble model in spatial modeling of groundwater potential by Naghibi, Seyed Amir, Dolatkordestani, Mojtaba, Rezaei, Ashkan, Amouzegari, Payam, Heravi, Mostafa Taheri, Kalantar, Bahareh, Pradhan, Biswajeet

“…Groundwater resources are facing a high pressure due to drought and overexploitation. The main aim of this research is to apply rotation forest (RTF) with…”
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Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran by Naghibi, Seyed Amir, Pourghasemi, Hamid Reza, Pourtaghi, Zohre Sadat, Rezaei, Ashkan

“…The purpose of current study is to produce groundwater qanat potential map using frequency ratio (FR) and Shannon's entropy (SE) models in the Moghan…”
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Development of novel hybridized models for urban flood susceptibility mapping by Rahmati, Omid, Darabi, Hamid, Panahi, Mahdi, Kalantari, Zahra, Naghibi, Seyed Amir, Ferreira, Carla Sofia Santos, Kornejady, Aiding, Karimidastenaei, Zahra, Mohammadi, Farnoush, Stefanidis, Stefanos, Tien Bui, Dieu, Haghighi, Ali Torabi

“…Floods in urban environments often result in loss of life and destruction of property, with many negative socio-economic effects. However, the application of…”
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A comparative assessment between linear and quadratic discriminant analyses (LDA-QDA) with frequency ratio and weights-of-evidence models for forest fire susceptibility mapping in China by Hong, Haoyuan, Naghibi, Seyed Amir, Moradi Dashtpagerdi, Mostafa, Pourghasemi, Hamid Reza, Chen, Wei

“…Forest fire is known as an important natural hazard in many countries which causes financial damages and human losses; thus, it is necessary to investigate…”
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A Comparative Assessment of Random Forest and k-Nearest Neighbor Classifiers for Gully Erosion Susceptibility Mapping by Avand, Mohammadtaghi, Janizadeh, Saeid, Naghibi, Seyed Amir, Pourghasemi, Hamid Reza, Khosrobeigi Bozchaloei, Saeid, Blaschke, Thomas

“…This research was conducted to determine which areas in the Robat Turk watershed in Iran are sensitive to gully erosion, and to define the relationship between…”
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Optimized Conditioning Factors Using Machine Learning Techniques for Groundwater Potential Mapping by Kalantar, Bahareh, Al-Najjar, Husam A. H., Pradhan, Biswajeet, Saeidi, Vahideh, Halin, Alfian Abdul, Ueda, Naonori, Naghibi, Seyed Amir

“…Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this…”
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Optimal Landfill Site Selection for Solid Waste of Three Municipalities Based on Boolean and Fuzzy Methods: A Case Study in Kermanshah Province, Iran by Mousavi, Seyed Mohsen, Darvishi, Golnaz, Mobarghaee Dinan, Naghmeh, Naghibi, Seyed Amir

“…In recent decades, population increase and urban development have led to catastrophic environmental consequences. One of the principal objectives to achieve…”
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Groundwater Augmentation through the Site Selection of Floodwater Spreading Using a Data Mining Approach (Case study: Mashhad Plain, Iran) by Naghibi, Seyed, Vafakhah, Mehdi, Hashemi, Hossein, Pradhan, Biswajeet, Alavi, Seyed

“…It is a well-known fact that sustainable development goals are difficult to achieve without a proper water resources management strategy. This study tries to…”
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Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping by Naghibi, Seyed Amir, Ahmadi, Kourosh, Daneshi, Alireza

“…Regarding the ever increasing issue of water scarcity in different countries, the current study plans to apply support vector machine (SVM), random forest…”
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A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping by Naghibi, Seyed Amir, Pourghasemi, Hamid Reza

“…As demand for fresh groundwater in the worldwide is increasing, delineation of groundwater spring potential zones become an increasingly important tool for…”
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Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors by Naghibi, Seyed Amir, Hashemi, Hossein, Berndtsson, Ronny, Lee, Saro

“…[Display omitted] •Spotting high potential areas for groundwater exploitation.•Application of two state-of-the-art machine learning algorithms.•Feeding only…”
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An integrated InSAR-machine learning approach for ground deformation rate modeling in arid areas by Naghibi, Seyed Amir, Khodaei, Behshid, Hashemi, Hossein

“…•Integration of InSAR and machine learning to study ground deformation.•Ground deformation modelling over agricultural areas.•Relating topographical,…”
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