A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping

Sinkhole susceptibility mapping: A comparison between Bayes-based machine learning algorithms

(2019) Kamal Taheri et al.   LAND DEGRADATION & DEVELOPMENT

Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes

(2019) Georgia Papacharalampous et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

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

(2019) Wei Chen et al.   Natural Resources Research

Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree

(2019) Wei Chen et al.   Geocarto International

Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling

(2019) Vu Nguyen et al.   Forests

A Comparative Assessment of Flood Susceptibility Modeling Using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

(2019) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

Set pair analysis-Markov chain model for groundwater quality assessment and prediction: A case study of Xi’an city, China

(2019) Fengmei Su et al.   HUMAN AND ECOLOGICAL RISK ASSESSMENT

Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability

(2019) Abolfazl Jaafari et al.   AGRICULTURAL AND FOREST METEOROLOGY

Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility

(2019) Abolfazl Jaafari et al.   CATENA

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

(2019) Wei Chen et al.   JOURNAL OF HYDROLOGY

Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms

(2019) Qingfeng He et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)

(2019) Dieu Tien Bui et al.   SENSORS

Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm

(2019) Dieu Tien Bui et al.   Remote Sensing

Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution

(2019) Ataollah Shirzadi et al.   CATENA

Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

(2019) Duie Tien Bui et al.   Remote Sensing

Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction

(2019) Nguyen et al.   Applied Sciences-Basel

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

New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed

(2019) Dieu Tien Bui et al.   Forests

Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms

(2019) Pham et al.   Sustainability

SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment

(2019) Saro Lee et al.   Applied Sciences-Basel

Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm

(2019) Yi Wang et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods

(2019) Omid Rahmati et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Mapping flood susceptibility in an arid region of southern Iraq using ensemble machine learning classifiers: a comparative study

(2018) Alaa M. Al-Abadi   Arabian Journal of Geosciences

GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method

(2018) Wei Chen et al.   CATENA

A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India

(2018) Binh Thai Pham et al.   International Journal of Sediment Research

Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping

(2018) Hossein Shafizadeh-Moghadam et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Fast evaluation of well placements in heterogeneous reservoir models using machine learning

(2018) Azor Nwachukwu et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Evaluation of different strategies for management of reservoir sedimentation in semi-arid regions: a case study (Dez Reservoir)

(2018) Samad Emamgholizadeh et al.   LAKE AND RESERVOIR MANAGEMENT

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

Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling

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

Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China

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

Big data in Geohazard; pattern mining and large scale analysis of landslides in Iran

(2018) Hossein Shafizadeh-Moghadam et al.   Earth Science Informatics

Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)

(2018) M. Ahmadlou et al.   Geocarto International

A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment

(2018) Wei Chen et al.   Geocarto International

A Novel Hybrid Approach of Bayesian Logistic Regression and Its Ensembles for Landslide Susceptibility Assessment

(2018) Mousa Abedini et al.   Geocarto International

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

(2018) Omid Rahmati et al.   JOURNAL OF HYDROLOGY

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms

(2018) Dieu Tien Bui et al.   SENSORS

Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach

(2018) Shaghayegh Miraki et al.   WATER RESOURCES MANAGEMENT

Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods

(2018) Dieu Tien Bui et al.   Scientific Reports

Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia

(2018) Dieu Tien Bui et al.   Remote Sensing

A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides

(2018) Dieu Tien Bui et al.   Remote Sensing

New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

(2018) Dieu Tien Bui et al.   Water

Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran

(2018) Mohsen Alizadeh et al.   Sustainability

Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling

(2018) Wei Chen et al.   Bulletin of Engineering Geology and the Environment

Hybrid Integration Approach of Entropy with Logistic Regression and Support Vector Machine for Landslide Susceptibility Modeling

(2018) Tingyu Zhang et al.   Entropy

Application of ensemble empirical mode decomposition based on machine learning methodologies in forecasting monthly pan evaporation

(2018) Mohammad Rezaie-Balf et al.   HYDROLOGY RESEARCH

Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods

(2018) Haoyuan Hong et al.   NATURAL HAZARDS

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

(2018) Ataollah Shirzadi et al.   SENSORS

A Novel Hybrid Approach of Landslide Susceptibility Modeling Using Rotation Forest Ensemble and Different Base Classifiers

(2018) Binh Thai Pham et al.   Geocarto International

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

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

Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models

(2018) Ali Azareh et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches

(2018) Binh Thai Pham et al.   CATENA

A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)

(2017) Haoyuan Hong et al.   Environmental Earth Sciences

Shallow landslide susceptibility assessment using a novel hybrid intelligence approach

(2017) Ataollah Shirzadi et al.   Environmental Earth Sciences

A novel hybrid artificial intelligence approach for flood susceptibility assessment

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

Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques

(2017) Wei Chen et al.   GEODERMA

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

Machine learning algorithms for modeling groundwater level changes in agricultural regions of the U.S.

(2017) S. Sahoo et al.   WATER RESOURCES RESEARCH

A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China

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

Flood Inundation Mapping from Optical Satellite Images Using Spatiotemporal Context Learning and Modest AdaBoost

(2017) Xiaoyi Liu et al.   Remote Sensing

Fuzzy Shannon Entropy: A Hybrid GIS-Based Landslide Susceptibility Mapping Method

(2016) Majid Shadman Roodposhti et al.   Entropy

Spatial prediction of landslide susceptibility using integrated frequency ratio with entropy and support vector machines by different kernel functions

(2016) Wei Chen et al.   Environmental Earth Sciences

GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks

(2016) Dieu Tien Bui et al.   Environmental Earth Sciences

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

Assessment of Groundwater Potential Based on Multicriteria Decision Making Model and Decision Tree Algorithms

(2016) Huajie Duan et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

A GIS-based comparative study of Dempster-Shafer, logistic regression and artificial neural network models for landslide susceptibility mapping

(2016) Wei Chen et al.   Geocarto International

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

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

(2015) Mahyat Shafapour Tehrany et al.   CATENA

Robust snow avalanche detection using supervised machine learning with infrasonic sensor arrays

(2015) Thomas Thüring et al.   COLD REGIONS SCIENCE AND TECHNOLOGY

Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran

(2015) Himan Shahabi et al.   Environmental Earth Sciences

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

Mapping of groundwater potential zones in Salem Chalk Hills, Tamil Nadu, India, using remote sensing and GIS techniques

(2015) N. Thilagavathi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

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

A GIS/Remote Sensing-based methodology for groundwater potentiality assessment in Tirnavos area, Greece

(2015) D. Oikonomidis et al.   JOURNAL OF HYDROLOGY

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

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

Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment

(2015) Himan Shahabi et al.   Scientific Reports

Application of Decision-Tree Model to Groundwater Productivity-Potential Mapping

(2015) Saro Lee et al.   Sustainability

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

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

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

(2014) Haleh Nampak et al.   JOURNAL OF HYDROLOGY

Relative effect method of landslide susceptibility zonation in weathered granite soil: a case study in Deokjeok-ri Creek, South Korea

(2014) Ananta Man Singh Pradhan et al.   NATURAL HAZARDS

Appraising the accuracy of GIS-based Multi-criteria decision making technique for delineation of Groundwater potential zones

(2014) Tarun Kumar et al.   WATER RESOURCES MANAGEMENT

Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran

(2014) Seyed Amir Naghibi et al.   Earth Science Informatics

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

Assessment of a data-driven evidential belief function model and GIS for groundwater potential mapping in the Koohrang Watershed, Iran

(2014) Hamid Reza Pourghasemi 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

Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models

(2013) Himan Shahabi et al.   CATENA

Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information

(2013) Matthew J. Cracknell et al.   COMPUTERS & 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

An Introduction to Logistic Regression: From Basic Concepts to Interpretation with Particular Attention to Nursing Domain

(2013) Hyeoun-Ae Park   Journal of Korean Academy of Nursing

A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)

(2013) Dieu Tien Bui et al.   Geomatics Natural Hazards & Risk

Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS

(2012) Mohamad Abd Manap et al.   Arabian Journal of Geosciences

River suspended sediment estimation by climatic variables implication: Comparative study among soft computing techniques

(2012) Ozgur Kisi et al.   COMPUTERS & GEOSCIENCES

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

(2012) Biswajeet Pradhan   COMPUTERS & GEOSCIENCES

Characterising performance of environmental models

(2012) Neil D. Bennett et al.   ENVIRONMENTAL MODELLING & SOFTWARE

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

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

Groundwater quality assessment using data clustering based on hybrid Bayesian networks

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

Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques

(2012) N.S. Magesh et al.   Geoscience Frontiers

Impacts of climate change on runoffs in East Azerbaijan, Iran

(2011) Mahdi Zarghami et al.   GLOBAL AND PLANETARY CHANGE

Aspect influences on soil water retention and storage

(2011) I.J. Geroy et al.   HYDROLOGICAL PROCESSES

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

Groundwater recharge study in arid region: An approach using GIS techniques and numerical modeling

(2010) Ismail Chenini et al.   COMPUTERS & GEOSCIENCES

Mapping potential areas for groundwater storage in Wadi Aurnah Basin, western Arabian Peninsula, using remote sensing and geographic information system techniques

(2010) Mashael Al Saud   HYDROGEOLOGY JOURNAL

Prediction of hourly actual evapotranspiration using neural networks, genetic programming, and statistical models

(2010) Zohreh Izadifar et al.   HYDROLOGICAL PROCESSES

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

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

Digital mapping of soil organic matter stocks using Random Forest modeling in a semi-arid steppe ecosystem

(2010) Martin Wiesmeier et al.   PLANT AND SOIL

Integrating GIS and remote sensing for identification of groundwater potential zones in the hilly terrain of Pavagarh, Gujarat, India

(2010) Manika Gupta et al.   WATER INTERNATIONAL

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

Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur district, West Bengal, using RS, GIS and MCDM techniques

(2009) Alivia Chowdhury et al.   Environmental Earth Sciences

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

Multi‐criteria decision evaluation in groundwater zones identification in Moyale‐Teltele subbasin, South Ethiopia

(2009) K. S. R. Murthy et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Delineation of groundwater potential zones in Kakund watershed, Eastern Rajasthan, using remote sensing and GIS techniques

(2009) Akram Javed et al.   JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA

Measuring classifier performance: a coherent alternative to the area under the ROC curve

(2009) David J. Hand   MACHINE LEARNING

On the role of aspect to quantify water transit times in small mountainous catchments

(2009) Patrick D. Broxton et al.   WATER RESOURCES RESEARCH

Assessing the impact of climate change on water resources in Iran

(2009) Karim C. Abbaspour et al.   WATER RESOURCES RESEARCH

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

A critical analysis of variants of the AUC

(2008) Stijn Vanderlooy et al.   MACHINE LEARNING

Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery

(2008) Jonathan Cheung-Wai Chan et al.   REMOTE SENSING OF ENVIRONMENT