Browsing byAuthorRezaei, K
Showing results 1 to 10 of 10
Issue Date | Title | Author(s) |
2019-05-01 | Assessment of landslide susceptibility using statistical- and artificial intelligence-based FR-RF integrated model and multiresolution DEMs | Arabameri, A; Pradhan, B; Rezaei, K; Lee, CW |
2019-01-01 | An ensemble model for landslide susceptibility mapping in a forested area | Arabameri, A; Pradhan, B; Rezaei, K; Lee, S; Sohrabi, M |
2019-03-01 | GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms | Arabameri, A; Pradhan, B; Rezaei, K; Sohrabi, M; Kalantari, Z |
2019-09-01 | Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques | Arabameri, A; Pradhan, B; Rezaei, K; Conoscenti, C |
2019-02-15 | Gully erosion zonation mapping using integrated geographically weighted regression with certainty factor and random forest models in GIS | Arabameri, A; Pradhan, B; Rezaei, K |
2018-10-30 | Identification of erosion-prone areas using different multi-criteria decision-making techniques and gis | Arabameri, A; Pradhan, B; Pourghasemi, HR; Rezaei, K |
2018-11-01 | Spatial modelling of gully erosion using evidential belief function, logistic regression, and a new ensemble of evidential belief function–logistic regression algorithm | Arabameri, A; Pradhan, B; Rezaei, K; Yamani, M; Pourghasemi, HR; Lombardo, L |
2018-08-14 | Spatial modelling of Gully erosion using GIS and R programing: A comparison among three data mining algorithms | Arabameri, A; Pradhan, B; Pourghasemi, HR; Rezaei, K; Kerle, N |
2019-08-01 | Spatial prediction of gully erosion using ALOS PALSAR data and ensemble bivariate and data mining models | Arabameri, A; Pradhan, B; Rezaei, K |
2021-02-01 | Suspended sediment load prediction using artificial intelligence techniques: comparison between four state-of-the-art artificial neural network techniques | Rezaei, K; Pradhan, B; Vadiati, M; Nadiri, AA |