Saro Lee
Orcid: 0000-0003-0409-8263
According to our database1,
Saro Lee
authored at least 39 papers
between 2002 and 2023.
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Bibliography
2023
Comparison of Novel Hybrid and Benchmark Machine Learning Algorithms to Predict Groundwater Potentiality: Case of a Drought-Prone Region of Medjerda Basin, Northern Tunisia.
Remote. Sens., January, 2023
Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai'i.
Eng. Appl. Artif. Intell., 2023
Appl. Soft Comput., 2023
2022
Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides.
Appl. Soft Comput., 2022
2021
Assessment of Urban Infrastructures Exposed to Flood Using Susceptibility Map and Google Earth Engine.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Hybrids of Support Vector Regression with Grey Wolf Optimizer and Firefly Algorithm for Spatial Prediction of Landslide Susceptibility.
Remote. Sens., 2021
Remote. Sens., 2021
Application of Support Vector Regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea.
Remote. Sens., 2021
Utilizing the SAR, GIS, and Novel Hybrid Metaheuristic-GMDH Algorithm for Flood Susceptibility Mapping.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility.
Remote. Sens., 2020
Remote. Sens., 2020
Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques.
Remote. Sens., 2020
Remote. Sens., 2020
Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran).
Remote. Sens., 2020
Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility.
Remote. Sens., 2020
Landslide Susceptibility Assessment Using an Optimized Group Method of Data Handling Model.
ISPRS Int. J. Geo Inf., 2020
2019
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran).
Sensors, 2019
An Automated Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping.
Remote. Sens., 2019
Spatial Mapping of the Groundwater Potential of the Geum River Basin Using Ensemble Models Based on Remote Sensing Images.
Remote. Sens., 2019
Erratum: Dieu, T.B. et al. A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. <i>Remote Sens.</i> 2018, <i>10</i>, 1538.
Remote. Sens., 2019
Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm.
Remote. Sens., 2019
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.
Remote. Sens., 2019
Evaluating unconfined compressive strength of cohesive soils stabilized with geopolymer: a computational intelligence approach.
Eng. Comput., 2019
2018
Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms.
Sensors, 2018
Landslide Susceptibility Mapping and Comparison Using Decision Tree Models: A Case Study of Jumunjin Area, Korea.
Remote. Sens., 2018
Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping.
Remote. Sens., 2018
A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides.
Remote. Sens., 2018
J. Sensors, 2018
2017
Landslide Susceptibility Assessment Using Frequency Ratio Technique with Iterative Random Sampling.
J. Sensors, 2017
2012
Application of an adaptive neuro-fuzzy inference system to ground subsidence hazard mapping.
Comput. Geosci., 2012
Application of an evidential belief function model in landslide susceptibility mapping.
Comput. Geosci., 2012
2011
Proceedings of the 2nd International Conference and Exhibition on Computing for Geospatial Research & Application, 2011
Proceedings of the 2nd International Conference and Exhibition on Computing for Geospatial Research & Application, 2011
2010
A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses.
Comput. Environ. Urban Syst., 2010
Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling.
Environ. Model. Softw., 2010
2006
Mineral Potential Assessment of Sedimentary Deposit using Frequency Ratio and Logistic Regression of Gangreung Area, Korea.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006
Ground Subsidence Hazard Analysis in an Abandoned Underground Coal Mine Area using Probabisltic and Logistic Regression Models.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006
2004
Int. J. Geogr. Inf. Sci., 2004
2002
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002