Proposing receiver operating characteristic-based sensitivity analysis with introducing swarm optimized ensemble learning algorithms for groundwater potentiality modelling in Asir region, Saudi Arabia

An assessment of metaheuristic approaches for flood assessment

(2020) Hamid Reza Pourghasemi et al.   JOURNAL OF HYDROLOGY

Spatial mapping of groundwater springs potentiality using grid search-based and genetic algorithm-based support vector regression

(2020) A'kif Al-Fugara et al.   Geocarto International

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

(2020) Davoud Davoudi Moghaddam et al.   Water

Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm

(2020) Fatemeh Barzegari Banadkooki et al.   Natural Resources Research

Estimation of Petrophysical Parameters from Seismic Inversion by Combining Particle Swarm Optimization and Multilayer Linear Calculator

(2020) Qamar Yasin et al.   Natural Resources Research

Ensemble framework by using nature inspired algorithms for the early-stage forest fire rescue — A case study of dynamic optimization problems

(2020) HongGuang Zhang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping

(2020) Wei Chen et al.   JOURNAL OF HYDROLOGY

Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-art Metaheuristic Techniques

(2020) Mohammad Mehrabi et al.   SENSORS

Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam

(2020) Phong Tung Nguyen et al.   International Journal of Environmental Research and Public Health

Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review

(2020) Swapan Talukdar et al.   Remote Sensing

A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil

(2020) Binh Thai Pham et al.   Sustainability

Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling

(2020) Phong Tung Nguyen et al.   Sustainability

A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm

(2020) Deliang Sun et al.   GEOMORPHOLOGY

Groundwater potential zones for sustainable management plans in a river basin of India and Bangladesh

(2020) Swades Pal et al.   JOURNAL OF CLEANER PRODUCTION

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

Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling

(2019) Vu Nguyen et al.   Forests

Water transport, perception, and response in plants

(2019) Johannes Daniel Scharwies et al.   JOURNAL OF PLANT RESEARCH

Wetland-scale mapping of preferential fresh groundwater discharge to the Colorado River

(2019) Martin A. Briggs et al.   Groundwater

Investigation, simulation, identification and prediction of groundwater levels in coastal areas of Purba Midnapur, India, using MODFLOW

(2019) Souvik Chakraborty et al.   ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

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

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

(2019) Dieu Tien Bui et al.   SENSORS

Analytic Network Process based approach for delineation of groundwater potential zones in Korba district, Central India using remote sensing and GIS

(2019) Soumya S. Singha et al.   Geocarto International

A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping

(2019) Dieu Tien Bui et al.   CATENA

Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping

(2019) Seyed Vahid Razavi Termeh et al.   HYDROGEOLOGY JOURNAL

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

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area

(2019) Dieu Tien Bui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Optimized Conditioning Factors Using Machine Learning Techniques for Groundwater Potential Mapping

(2019) Kalantar et al.   Water

Groundwater Recharge Prediction Using Linear Regression, Multi-Layer Perception Network, and Deep Learning

(2019) Xin Huang et al.   Water

A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping

(2019) Dieu Tien Bui et al.   Water

Assessment of groundwater recharge and its potential zone identification in groundwater-stressed Goghat-I block of Hugli District, West Bengal, India

(2019) Biswajit Das et al.   ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

Hybrid computational intelligence models for groundwater potential mapping

(2019) Binh Thai Pham et al.   CATENA

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

Stand density effects on carbon and water fluxes in a semi-arid forest, from leaf to stand-scale

(2019) Mor Tsamir et al.   FOREST ECOLOGY AND MANAGEMENT

Groundwater aquifer potential modeling using an ensemble multi-adoptive boosting logistic regression technique

(2019) Hossein Mojaddadi Rizeei et al.   JOURNAL OF HYDROLOGY

Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping

(2019) Quang-Thanh Bui et al.   JOURNAL OF HYDROLOGY

Groundwater Estimation from Major Physical Hydrology Components Using Artificial Neural Networks and Deep Learning

(2019) Hassan Afzaal et al.   Water

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

Delineation of groundwater potential zone for sustainable development: A case study from Ganga Alluvial Plain covering Hooghly district of India using remote sensing, geographic information system and analytic hierarchy process

(2018) Suman Patra et al.   JOURNAL OF CLEANER PRODUCTION

Forecasting Daily Runoff by Extreme Learning Machine Based on Quantum-Behaved Particle Swarm Optimization

(2018) Wen-jing Niu et al.   JOURNAL OF HYDROLOGIC ENGINEERING

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

Climate, but not trait, effects on plant-soil feedback depend on mycorrhizal type in temperate forests

(2018) Jonathan A. Bennett et al.   Ecosphere

Particle Swarm Optimization Algorithm for Neuro-Fuzzy Prospectivity Analysis Using Continuously Weighted Spatial Exploration Data

(2018) Bijan Roshanravan et al.   Natural Resources Research

Groundwater potential mapping using a novel data-mining ensemble model

(2018) Mojtaba Dolat Kordestani et al.   HYDROGEOLOGY JOURNAL

Modeling neutrosophic variables based on particle swarm optimization and information theory measures for forest fires

(2018) Mona Gamal Gafar et al.   JOURNAL OF SUPERCOMPUTING

Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach

(2018) Shaghayegh Miraki et al.   WATER RESOURCES MANAGEMENT

Assessment of groundwater utilization status and prediction of water table depth using different heuristic models in an Indian interbasin

(2018) Sucharita Pradhan et al.   SOFT COMPUTING

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

(2018) Binh Thai Pham et al.   Geocarto International

A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China

(2018) Yi Wang et al.   Remote Sensing

Self-Learning Random Forests Model for Mapping Groundwater Yield in Data-Scarce Areas

(2018) Maher Ibrahim Sameen et al.   Natural Resources Research

A novel hybrid artificial intelligence approach for flood susceptibility assessment

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

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

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)

(2017) Bahareh Kalantar et al.   Geomatics Natural Hazards & Risk

Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran

(2016) Omid Rahmati et al.   CATENA

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

Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS

(2016) Dieu Tien Bui et al.   JOURNAL OF HYDROLOGY

Delineation of potential ground water-bearing zones in the Barind tract of West Bengal, India

(2016) Rajib Tarani Das et al.   ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

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

Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines

(2015) Riccardo Taormina et al.   JOURNAL OF HYDROLOGY

Forecasting groundwater level by artificial neural networks as an alternative approach to groundwater modeling

(2015) Manouchehr Chitsazan et al.   JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

(2015) Yudong Zhang et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

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

Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS

(2015) Yousef Razandi et al.   Earth Science Informatics

Climate Change and Water Scarcity: The Case of Saudi Arabia

(2015) Erica DeNicola et al.   Annals of Global Health

Landscape dynamic characteristics using satellite data for a mountainous watershed of Abha, Kingdom of Saudi Arabia

(2014) Javed Mallick et al.   Environmental Earth Sciences

Random forest classification of salt marsh vegetation habitats using quad-polarimetric airborne SAR, elevation and optical RS data

(2014) Sybrand van Beijma et al.   REMOTE SENSING OF ENVIRONMENT

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

A knowledge-driven GIS modeling technique for groundwater potential mapping at the Upper Langat Basin, Malaysia

(2011) Mohamad Abd Manap et al.   Arabian Journal of Geosciences

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