Application of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data

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

(2020) Himan Shahabi et al.   Remote Sensing

A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping

(2020) Binh Thai Pham et al.   Water

A Modeling Comparison of Groundwater Potential Mapping in a Mountain Bedrock Aquifer: QUEST, GARP, and RF Models

(2020) Davoud Davoudi Moghaddam et al.   Water

Mapping of Groundwater Potential Zones in Crystalline Terrain Using Remote Sensing, GIS Techniques, and Multicriteria Data Analysis (Case of the Ighrem Region, Western Anti-Atlas, Morocco)

(2020) Khalid Benjmel et al.   Water

A comparison of machine learning models for the mapping of groundwater spring potential

(2020) A’kif Al-Fugara et al.   Environmental Earth Sciences

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

(2020) Viet-Ha Nhu et al.   International Journal of Environmental Research and Public Health

Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques

(2020) Sunmin Lee et al.   Remote Sensing

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

(2020) Phong Tung Nguyen et al.   Applied Sciences-Basel

Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors

(2020) Seyed Amir Naghibi et al.   JOURNAL OF HYDROLOGY

Application of rotation forest with decision trees as base classifier and a novel ensemble model in spatial modeling of groundwater potential

(2019) Seyed Amir Naghibi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization

(2019) Wei Chen et al.   JOURNAL OF HYDROLOGY

Groundwater prospect mapping using remote sensing, GIS and resistivity survey techniques in Chhokra Nala Raipur district, Chhattisgarh, India

(2019) D. C. Jhariya   JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA

Groundwater Potential Mapping Using an Integrated Ensemble of Three Bivariate Statistical Models with Random Forest and Logistic Model Tree Models

(2019) S. Vahid Razavi-Termeh et al.   Water

Mapping groundwater potential through an ensemble of big data methods

(2019) P. Martínez‐Santos et al.   Groundwater

Inverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater

(2019) Alireza Motevalli et al.   JOURNAL OF CLEANER PRODUCTION

Spatial Mapping of the Groundwater Potential of the Geum River Basin Using Ensemble Models Based on Remote Sensing Images

(2019) Jeong-Cheol Kim et al.   Remote Sensing

Optimized Conditioning Factors Using Machine Learning Techniques for Groundwater Potential Mapping

(2019) Kalantar et al.   Water

Water Resources Management Through Flood Spreading Project Suitability Mapping Using Frequency Ratio, k-nearest Neighbours, and Random Forest Algorithms

(2019) Seyed Amir Naghibi et al.   Natural Resources Research

A Comparative Assessment of Random Forest and k-Nearest Neighbor Classifiers for Gully Erosion Susceptibility Mapping

(2019) Avand et al.   Water

Comparison of machine learning models for gully erosion susceptibility mapping

(2019) Alireza Arabameri et al.   Geoscience Frontiers

Assessment of urbanisation and urban heat island intensities using landsat imageries during 2000 – 2018 over a sub-tropical Indian City

(2019) Sabiha Sultana et al.   Sustainable Cities and Society

The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers

(2019) Davoud Davoudi Moghaddam et al.   CATENA

Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS

(2018) Ali Golkarian et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran

(2018) Khabat Khosravi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A cost-effective and efficient framework to determine water quality monitoring network locations

(2018) Hossein Alilou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Analyzing Factors of Groundwater Potential and Its Relation with Population in the Lower Barpani Watershed, Assam, India

(2018) Raihan Ahmed et al.   Natural Resources Research

Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches

(2018) Omid Rahmati et al.   JOURNAL OF HYDROLOGY

Groundwater Augmentation through the Site Selection of Floodwater Spreading Using a Data Mining Approach (Case study: Mashhad Plain, Iran)

(2018) Seyed Naghibi et al.   Water

A novel hybrid artificial intelligence approach for flood susceptibility assessment

(2017) Kamran Chapi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping

(2017) Seyed Amir Naghibi et al.   JOURNAL OF HYDROLOGY

A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS

(2017) Seyed Amir Naghibi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Appraising the Accuracy of Multi-Class Frequency Ratio and Weights of Evidence Method for Delineation of Regional Groundwater Potential Zones in Canal Command System

(2017) Satiprasad Sahoo et al.   WATER RESOURCES MANAGEMENT

Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping

(2017) Seyed Amir Naghibi et al.   WATER RESOURCES MANAGEMENT

Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran

(2016) Ebrahim Karimi Sangchini et al.   Arabian Journal of Geosciences

Evaluation of four supervised learning methods for groundwater spring potential mapping in Khalkhal region (Iran) using GIS-based features

(2016) Seyed Amir Naghibi et al.   HYDROGEOLOGY JOURNAL

Representing conditional preference by boosted regression trees for recommendation

(2016) Juntao Liu et al.   INFORMATION SCIENCES

Delineation of groundwater potential zones using remote sensing and GIS-based data-driven models

(2016) Samira Ghorbani Nejad et al.   Geocarto International

The use of logistic model tree (LMT) for pixel- and object-based classifications using high-resolution WorldView-2 imagery

(2016) Ismail Colkesen et al.   Geocarto International

GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran

(2015) Seyed Amir Naghibi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

(2015) Dieu Tien Bui et al.   Landslides

Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia

(2015) Ahmed Mohamed Youssef et al.   Landslides

Assessment of a spatial multi-criteria evaluation to site selection underground dams in the Alborz Province, Iran

(2015) Javad Chezgi et al.   Geocarto International

Regional prediction of groundwater potential mapping in a multifaceted geology terrain using GIS-based Dempster–Shafer model

(2014) K. A. Mogaji et al.   Arabian Journal of Geosciences

A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping

(2013) Omar F. Althuwaynee et al.   CATENA

GIS based mapping of land cover changes utilizing multi-temporal remotely sensed image data in Lake Hawassa Watershed, Ethiopia

(2013) Nigatu Wondrade et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Application of an evidential belief function model in landslide susceptibility mapping

(2012) Omar F. Althuwaynee et al.   COMPUTERS & GEOSCIENCES

HIV-1 CRF01_AE coreceptor usage prediction using kernel methods based logistic model trees

(2012) Watshara Shoombuatong et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Predicting copper concentrations in acid mine drainage: a comparative analysis of five machine learning techniques

(2012) Getnet D. Betrie et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Hydraulic significance of fracture correlated lineaments in precambrian rocks in Purulia district, West Bengal

(2012) Tapas Acharya et al.   JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA

Mapping and Assessment of Groundwater Potential in Bilrai Watershed (Shivpuri District, M.P.)—A Geomatics Approach

(2012) Devi Dayal Sinha et al.   Journal of the Indian Society of Remote Sensing

Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya

(2012) Krishna Chandra Devkota et al.   NATURAL HAZARDS

GIS-based groundwater spring potential mapping in the Sultan Mountains (Konya, Turkey) using frequency ratio, weights of evidence and logistic regression methods and their comparison

(2011) Adnan Ozdemir   JOURNAL OF HYDROLOGY

Using a binary logistic regression method and GIS for evaluating and mapping the groundwater spring potential in the Sultan Mountains (Aksehir, Turkey)

(2011) Adnan Ozdemir   JOURNAL OF HYDROLOGY

Global depletion of groundwater resources

(2010) Yoshihide Wada et al.   GEOPHYSICAL RESEARCH LETTERS

Weight of evidence and artificial neural networks for potential groundwater spring mapping: an application to the Mt. Modino area (Northern Apennines, Italy)

(2009) Alessandro Corsini et al.   GEOMORPHOLOGY

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY