Search

Current filters:
Add Filter:

Results

Customise results display
Item hits:
Issue DateTitleAuthor(s)
2020-03A methodological comparison of head-cut based gully erosion susceptibility models: Combined use of statistical and artificial intelligenceArabameri, A; Cerda, A; Pradhan, B; Tiefenbacher, JP; Lombardo, L; Bui, DT
2020-09-01Novel machine learning approaches for modelling the gully erosion susceptibilityArabameri, A; Nalivan, OA; Pal, SC; Chakrabortty, R; Saha, A; Lee, S; Pradhan, B; Bui, DT
2020-01-02Evaluation of recent advanced soft computing techniques for gully erosion susceptibility mapping: A comparative studyArabameri, A; Blaschke, T; Pradhan, B; Pourghasemi, HR; Tiefenbacher, JP; Bui, DT
2019-12-19Gully Head-Cut Distribution Modeling Using Machine Learning Methods—A Case Study of N.W. IranArabameri, A; Chen, W; Blaschke, T; Tiefenbacher, JP; Pradhan, B; Tien Bui, D
2019-11-01Proposing a novel predictive technique for gully erosion susceptibility mapping in arid and semi-arid regions (Iran)Arabameri, A; Cerda, A; Rodrigo-Comino, J; Pradhan, B; Sohrabi, M; Blaschke, T; Bui, DT
2020-03-01Morphometric analysis for soil erosion susceptibility mapping using novel gis-based ensemble modelArabameri, A; Tiefenbacher, JP; Blaschke, T; Pradhan, B; Bui, DT
2020-10-02Novel ensemble of multivariate adaptive regression spline with spatial logistic regression and boosted regression tree for gully erosion susceptibilityRoy, P; Pal, SC; Arabameri, A; Chakrabortty, R; Pradhan, B; Chowdhuri, I; Lee, S; Bui, DT
2019-01-01An ensemble model for landslide susceptibility mapping in a forested areaArabameri, A; Pradhan, B; Rezaei, K; Lee, S; Sohrabi, M
2019-10-20Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibilityArabameri, A; Yamani, M; Pradhan, B; Melesse, A; Shirani, K; Tien Bui, D
2019-03-01GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithmsArabameri, A; Pradhan, B; Rezaei, K; Sohrabi, M; Kalantari, Z
Results 1-10 of 29 (Search time: 0.108 seconds).