Browsing byAuthorArabameri, A

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Issue DateTitleAuthor(s)
2020-07A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility.Arabameri, A; Saha, S; Roy, J; Tiefenbacher, JP; Cerda, A; Biggs, T; Pradhan, B; Thi Ngo, PT; Collins, AL
2022-05-05Application of the novel state-of-the-art soft computing techniques for groundwater potential assessmentArabameri, A; Santosh, M; Moayedi, H; Tiefenbacher, JP; Pal, SC; Nalivan, OA; Costache, R; Ahmed, N; Hoque, MA-A; Chakrabortty, R; Cerda, A
2019-05-01Assessment of landslide susceptibility using statistical- and artificial intelligence-based FR-RF integrated model and multiresolution DEMsArabameri, A; Pradhan, B; Rezaei, K; Lee, CW
2019-12-01Comparative assessment using boosted regression trees, binary logistic regression, frequency ratio and numerical risk factor for gully erosion susceptibility modellingArabameri, A; Pradhan, B; Lombardo, L
2019-01-01Comparison of machine learning models for gully erosion susceptibility mappingArabameri, A; Chen, W; Loche, M; Zhao, X; Li, Y; Lombardo, L; Cerda, A; Pradhan, B; Bui, DT
2019-01-01An ensemble model for landslide susceptibility mapping in a forested areaArabameri, A; Pradhan, B; Rezaei, K; Lee, S; Sohrabi, M
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
2020-08-01Flash flood susceptibility modelling using functional tree and hybrid ensemble techniquesArabameri, A; Saha, S; Chen, W; Roy, J; Pradhan, B; Bui, DT
2022-01-01Flood susceptibility mapping in Brahmaputra floodplain of Bangladesh using deep boost, deep learning neural network, and artificial neural networkAhmed, N; Hoque, MAA; Arabameri, A; Pal, SC; Chakrabortty, R; Jui, J
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
2019-09-01Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniquesArabameri, A; Pradhan, B; Rezaei, K; Conoscenti, C
2019-02-15Gully erosion zonation mapping using integrated geographically weighted regression with certainty factor and random forest models in GISArabameri, A; Pradhan, B; Rezaei, K
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
2018-10-30Identification of erosion-prone areas using different multi-criteria decision-making techniques and gisArabameri, A; Pradhan, B; Pourghasemi, HR; Rezaei, K
2020-11-01Implementation of artificial intelligence based ensemble models for gully erosion susceptibility assessmentChowdhuri, I; Pal, SC; Arabameri, A; Saha, A; Chakrabortty, R; Blaschke, T; Pradhan, B; Band, SS
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
2020-03-01Morphometric analysis for soil erosion susceptibility mapping using novel gis-based ensemble modelArabameri, A; Tiefenbacher, JP; Blaschke, T; Pradhan, B; Bui, DT
2020-06-01Novel ensemble approaches of machine learning techniques in modeling the gully erosion susceptibilityArabameri, A; Nalivan, OA; Saha, S; Roy, J; Pradhan, B; Tiefenbacher, JP; Ngo, PTT
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
2019-10-20Novel 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