Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
Authors
Keywords
-
Journal
International Journal of Environmental Research and Public Health
Volume 17, Issue 7, Pages 2473
Publisher
MDPI AG
Online
2020-04-06
DOI
10.3390/ijerph17072473
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Investigation and Optimization of the C-ANN Structure in Predicting the Compressive Strength of Foamed Concrete
- (2020) Dong Van Dao et al. Materials
- 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 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
- GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment
- (2020) Binh Thai Pham et al. Water
- A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation
- (2020) Dong Van Dao et al. Sustainability
- Groundwater Spring Potential Mapping Using Artificial Intelligence Approach Based on Kernel Logistic Regression, Random Forest, and Alternating Decision Tree Models
- (2020) Wei Chen et al. Applied Sciences-Basel
- Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm
- (2020) Fatemeh Barzegari Banadkooki et al. Natural Resources Research
- A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
- (2020) Dong Van Dao et al. CATENA
- Optimization of Artificial Intelligence System by Evolutionary Algorithm for Prediction of Axial Capacity of Rectangular Concrete Filled Steel Tubes under Compression
- (2020) Hung Quang Nguyen et al. Materials
- Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers
- (2020) Binh Thai Pham et al. Geocarto International
- 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
- Extreme Learning Machine Based Prediction of Soil Shear Strength: A Sensitivity Analysis Using Monte Carlo Simulations and Feature Backward Elimination
- (2020) Binh Thai Pham et al. Sustainability
- GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models
- (2020) Viet-Ha Nhu et al. Applied Sciences-Basel
- Development of advanced artificial intelligence models for daily rainfall prediction
- (2020) Binh Thai Pham et al. ATMOSPHERIC RESEARCH
- Groundwater potential zones for sustainable management plans in a river basin of India and Bangladesh
- (2020) Swades Pal et al. JOURNAL OF CLEANER PRODUCTION
- Landslide susceptibility modelling using different advanced decision trees methods
- (2019) Binh Thai Pham et al. CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS
- Flash Flood Risk Analysis Based on Machine Learning Techniques in the Yunnan Province, China
- (2019) Meihong Ma et al. Remote Sensing
- Novel Hybrid Integration Approach of Bagging-Based Fisher’s Linear Discriminant Function for Groundwater Potential Analysis
- (2019) Wei Chen et al. Natural Resources Research
- Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM
- (2019) Jie Dou et al. Remote Sensing
- Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics
- (2019) Abolfazl Jaafari et al. Remote Sensing
- Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling
- (2019) Vu Nguyen et al. Forests
- 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
- Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods
- (2019) Dieu Tien Bui et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials
- (2019) Hai-Bang Ly et al. Materials
- 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
- Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction
- (2019) Nguyen et al. Applied Sciences-Basel
- Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections
- (2019) Hai-Bang Ly et al. Applied Sciences-Basel
- Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran
- (2019) Mahmoud Bayat et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability
- (2019) Abolfazl Jaafari et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis
- (2019) Binh Thai Pham et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam
- (2019) Tran Van Phong et al. Geocarto International
- Optimized Conditioning Factors Using Machine Learning Techniques for Groundwater Potential Mapping
- (2019) Kalantar et al. Water
- A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping
- (2019) Dieu Tien Bui et al. Water
- Groundwater as a Source of Drinking Water in Southeast Asia and the Pacific: A Multi-Country Review of Current Reliance and Resource Concerns
- (2019) Naomi Carrard et al. Water
- Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
- (2019) Pham et al. Sustainability
- Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran
- (2019) Saeid Janizadeh et al. Sustainability
- Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete
- (2019) Ly et al. Applied Sciences-Basel
- Predicting Slope Stability Failure through Machine Learning Paradigms
- (2019) Bui et al. ISPRS International Journal of Geo-Information
- The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes
- (2019) Hossein Moayedi et al. ISPRS International Journal of Geo-Information
- 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
- Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data
- (2019) Hai-Bang Ly et al. SENSORS
- A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping
- (2019) Pham et al. Sustainability
- Multi-hazards vulnerability assessment of southern coasts of Iran
- (2019) Davood Mafi-Gholami et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- A review on neural network models of schizophrenia and autism spectrum disorder
- (2019) Pablo Lanillos et al. NEURAL NETWORKS
- GIS Based Novel Hybrid Computational Intelligence Models for Mapping Landslide Susceptibility: A Case Study at Da Lat City, Vietnam
- (2019) Viet-Tien Nguyen et al. Sustainability
- Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach
- (2019) Chongchong Qi et al. CHEMOSPHERE
- Wildfire spatial pattern analysis in the Zagros Mountains, Iran: A comparative study of decision tree based classifiers
- (2018) Abolfazl Jaafari et al. Ecological Informatics
- LiDAR-supported prediction of slope failures using an integrated ensemble weights-of-evidence and analytical hierarchy process
- (2018) Abolfazl Jaafari Environmental Earth Sciences
- A Novel Classifier Based on Composite Hyper-cubes on Iterated Random Projections for Assessment of Landslide Susceptibility
- (2018) Binh Thai Pham JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA
- Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier
- (2018) Binh Thai Pham et al. Journal of the Indian Society of Remote Sensing
- 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 novel machine learning-based approach for the risk assessment of nitrate groundwater contamination
- (2018) Farzaneh Sajedi-Hosseini et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment
- (2018) Khabat Khosravi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A Comparison of Support Vector Machines and Bayesian Algorithms for Landslide Susceptibility Modeling
- (2018) Binh Thai Pham 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
- Land use change modeling through an integrated Multi-Layer Perceptron Neural Network and Markov Chain analysis (case study: Arasbaran region, Iran)
- (2018) Vahid Nasiri et al. JOURNAL OF FORESTRY RESEARCH
- Groundwater potential mapping using a novel data-mining ensemble model
- (2018) Mojtaba Dolat Kordestani et al. HYDROGEOLOGY JOURNAL
- Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach
- (2018) Shaghayegh Miraki et al. WATER RESOURCES MANAGEMENT
- Modeling multi-decadal mangrove leaf area index in response to drought along the semi-arid southern coasts of Iran
- (2018) Davood Mafi-Gholami et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil
- (2018) Binh Thai Pham et al. CATENA
- Groundwater as a strategic resource for improved resilience: a case study from peri-urban Accra
- (2017) Jenny Grönwall et al. Environmental Earth Sciences
- A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS
- (2017) Binh Thai Pham et al. Environmental Earth Sciences
- Shallow landslide susceptibility assessment using a novel hybrid intelligence approach
- (2017) Ataollah Shirzadi et al. Environmental Earth Sciences
- 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
- Review of techniques based on artificial neural networks for the electrical characterization of concentrator photovoltaic technology
- (2017) Florencia Almonacid et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Evaluation and comparison of LogitBoost Ensemble, Fisher’s Linear Discriminant Analysis, logistic regression and support vector machines methods for landslide susceptibility mapping
- (2017) Binh Thai Pham et al. Geocarto International
- Landslide Hazard Assessment Using Random SubSpace Fuzzy Rules Based Classifier Ensemble and Probability Analysis of Rainfall Data: A Case Study at Mu Cang Chai District, Yen Bai Province (Viet Nam)
- (2016) Binh Thai Pham et al. Journal of the Indian Society of Remote Sensing
- Application of Dempster–Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran
- (2016) Omid Rahmati et al. SCIENCE OF THE TOTAL ENVIRONMENT
- 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
- Landscape Variation in Tree Species Richness in Northern Iran Forests
- (2015) Charles P.-A. Bourque et al. PLoS One
- Ground-based skidder traffic changes chemical soil properties in a mountainous Oriental beech (Fagus orientalis Lipsky) forest in Iran
- (2014) Abolfazl Jaafari et al. JOURNAL OF TERRAMECHANICS
- How can statistical models help to determine driving factors of landslides?
- (2012) Peter Vorpahl et al. ECOLOGICAL MODELLING
- 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
- An artificial neural network (p,d,q) model for timeseries forecasting
- (2009) Mehdi Khashei et al. EXPERT SYSTEMS WITH APPLICATIONS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More