Groundwater Spring Potential Mapping Using Artificial Intelligence Approach Based on Kernel Logistic Regression, Random Forest, and Alternating Decision Tree Models

Landslide Susceptibility Modeling Using Integrated Ensemble Weights of Evidence with Logistic Regression and Random Forest Models

(2019) Wei Chen et al.   Applied Sciences-Basel

Novel Hybrid Integration Approach of Bagging-Based Fisher’s Linear Discriminant Function for Groundwater Potential Analysis

(2019) Wei Chen et al.   Natural Resources Research

Gully headcut susceptibility modeling using functional trees, naïve Bayes tree, and random forest models

(2019) Mohsen Hosseinalizadeh et al.   GEODERMA

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

(2019) Wei Chen et al.   JOURNAL OF HYDROLOGY

Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles

(2019) Wei Chen et al.   JOURNAL OF HYDROLOGY

Groundwater spring potential mapping using population-based evolutionary algorithms and data mining methods

(2019) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

(2019) Wei Chen et al.   Applied Sciences-Basel

Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods

(2019) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Landslide Susceptibility Evaluation Using Hybrid Integration of Evidential Belief Function and Machine Learning Techniques

(2019) Yang Li et al.   Water

Spatial Prediction of Landslides Using Hybrid Integration of Artificial Intelligence Algorithms with Frequency Ratio and Index of Entropy in Nanzheng County, China

(2019) Wei Chen et al.   Applied Sciences-Basel

GIS-Based Evaluation of Landslide Susceptibility Models Using Certainty Factors and Functional Trees-Based Ensemble Techniques

(2019) Xia Zhao et al.   Applied Sciences-Basel

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

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

Groundwater potential mapping using a novel data-mining ensemble model

(2018) Mojtaba Dolat Kordestani et al.   HYDROGEOLOGY JOURNAL

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

(2018) Omid Rahmati et al.   JOURNAL OF HYDROLOGY

Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression

(2018) Wei Chen et al.   Applied Sciences-Basel

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

A comparative study on groundwater spring potential analysis based on statistical index, index of entropy and certainty factors models

(2017) Enke Hou et al.   Geocarto International

GIS-based groundwater potential mapping using artificial neural network and support vector machine models: the case of Boryeong city in Korea

(2017) Saro Lee et al.   Geocarto International

Application of GIS-based data-driven models for groundwater potential mapping in Kuhdasht region of Iran

(2017) Hossein Zeinivand et al.   Geocarto International

GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models

(2017) Wei Chen et al.   Geomatics Natural Hazards & Risk

GIS-based multivariate adaptive regression spline and random forest models for groundwater potential mapping in Iran

(2016) Mohsen Zabihi et al.   Environmental Earth Sciences

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

Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization

(2016) Dieu Tien Bui et al.   Landslides

Semantic segmentation of images exploiting DCT based features and random forest

(2016) D. Ravì et al.   PATTERN RECOGNITION

A global review on ambient Limestone-Precipitating Springs (LPS): Hydrogeological setting, ecology, and conservation

(2016) Marco Cantonati et al.   SCIENCE OF THE TOTAL ENVIRONMENT

The world’s road to water scarcity: shortage and stress in the 20th century and pathways towards sustainability

(2016) M. Kummu et al.   Scientific Reports

Spatial analysis of groundwater potential using weights-of-evidence and evidential belief function models and remote sensing

(2015) Naser Tahmassebipoor et al.   Arabian Journal of Geosciences

Groundwater potential mapping at northeastern Wasit and Missan governorates, Iraq using a data-driven weights of evidence technique in framework of GIS

(2015) Alaa M. Al-Abadi   Environmental Earth Sciences

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

The global volume and distribution of modern groundwater

(2015) Tom Gleeson et al.   Nature Geoscience

Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods

(2015) Binh Thai Pham et al.   THEORETICAL AND APPLIED CLIMATOLOGY

A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping

(2015) Seyed Amir Naghibi et al.   WATER RESOURCES MANAGEMENT

Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS

(2014) Omid Rahmati et al.   Arabian Journal of Geosciences

Improving protein fold recognition by random forest

(2014) Taeho Jo et al.   BMC BIOINFORMATICS

Water footprint scenarios for 2050: A global analysis

(2014) A. Ertug Ercin et al.   ENVIRONMENT INTERNATIONAL

GIS-based groundwater spring potential assessment and mapping in the Birjand Township, southern Khorasan Province, Iran

(2014) Zohre Sadat Pourtaghi et al.   HYDROGEOLOGY JOURNAL

Application of GIS based data driven evidential belief function model to predict groundwater potential zonation

(2014) Haleh Nampak et al.   JOURNAL OF HYDROLOGY

Gain ratio based fuzzy weighted association rule mining classifier for medical diagnostic interface

(2014) N S NITHYA et al.   SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES

Delineation of groundwater potential zone in hard rock terrain of India using remote sensing, geographical information system (GIS) and analytic hierarchy process (AHP) techniques

(2014) Shashank Shekhar et al.   Geocarto International

Groundwater spring potential mapping using bivariate statistical model and GIS in the Taleghan Watershed, Iran

(2013) D. Davoodi Moghaddam et al.   Arabian Journal of Geosciences

Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area, Iran

(2013) Aminreza Neshat et al.   Environmental Earth Sciences

Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network model

(2012) Saro Lee et al.   HYDROGEOLOGY JOURNAL

Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool – A case of predicting potential zones of sustainable groundwater resources

(2012) K.A.N. Adiat et al.   JOURNAL OF HYDROLOGY

Groundwater quality assessment using data clustering based on hybrid Bayesian networks

(2012) Pedro A. Aguilera et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Application of a weights-of-evidence method and GIS to regional groundwater productivity potential mapping

(2011) Saro Lee et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

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

GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea

(2010) Hyun-Joo Oh et al.   JOURNAL OF HYDROLOGY

Assessment of Groundwater Potential in a Semi-Arid Region of India Using Remote Sensing, GIS and MCDM Techniques

(2010) Deepesh Machiwal et al.   WATER RESOURCES MANAGEMENT

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

Assessment of groundwater potential zones using GIS technique

(2009) M. Nagarajan et al.   Journal of the Indian Society of Remote Sensing

Integrated remote sensing and GIS‐based approach for assessing groundwater potential in West Medinipur district, West Bengal, India

(2008) A. Chowdhury et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Groundwater favorability map using GIS multicriteria data analysis on crystalline terrain, São Paulo State, Brazil

(2008) Vanessa Madrucci et al.   JOURNAL OF HYDROLOGY