Browsing byAuthorPourghasemi, HR

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Showing results 4 to 12 of 12< previous 
Issue DateTitleAuthor(s)
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
2019-07-01Flood spatial modeling in Northern Iran using remote sensing and GIS: A comparison between evidential belief functions and its ensemble with a multivariate logistic regression modelBui, DT; Khosravi, K; Shahabi, H; Daggupati, P; Adamowski, JF; M.Melesse, A; Pham, BT; Pourghasemi, HR; Mahmoudi, M; Bahrami, S; Pradhan, B; Shirzadi, A; Chapi, K; Lee, S
2021-01-01Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, EgyptEl-Haddad, BA; Youssef, AM; Pourghasemi, HR; Pradhan, B; El-Shater, AH; El-Khashab, MH
2016GIS-based landslide spatial modeling in Ganzhou City, ChinaHong, H; Naghibi, SA; Pourghasemi, HR; Pradhan, B
2018-10-30Identification of erosion-prone areas using different multi-criteria decision-making techniques and gisArabameri, A; Pradhan, B; Pourghasemi, HR; Rezaei, K
2021-01-01Landslide susceptibility assessment along the dubair-dudishal section of the Karakoram Higway, Northwestern Himalayas, PakistanIqbal, J; Peng, C; Hussain, ML; Pourghasemi, HR; De-Qiang, C; Shah, SU; Pradhan, B
2018-11-01Spatial modelling of gully erosion using evidential belief function, logistic regression, and a new ensemble of evidential belief function–logistic regression algorithmArabameri, A; Pradhan, B; Rezaei, K; Yamani, M; Pourghasemi, HR; Lombardo, L
2018-08-14Spatial modelling of Gully erosion using GIS and R programing: A comparison among three data mining algorithmsArabameri, A; Pradhan, B; Pourghasemi, HR; Rezaei, K; Kerle, N
2021-06-04Wildland Fire Susceptibility Mapping Using Support Vector Regression and Adaptive Neuro-Fuzzy Inference System-Based Whale Optimization Algorithm and Simulated AnnealingAl-Fugara, A; Mabdeh, AN; Ahmadlou, M; Pourghasemi, HR; Al-Adamat, R; Pradhan, B; Al-Shabeeb, AR