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Showing results 4 to 12 of 12
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Issue Date
Title
Author(s)
2020-01-02
Evaluation of recent advanced soft computing techniques for gully erosion susceptibility mapping: A comparative study
Arabameri, A
;
Blaschke, T
;
Pradhan, B
;
Pourghasemi, HR
;
Tiefenbacher, JP
;
Bui, DT
2019-07-01
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
Bui, 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
2021-01-01
Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, Egypt
El-Haddad, BA
;
Youssef, AM
;
Pourghasemi, HR
;
Pradhan, B
;
El-Shater, AH
;
El-Khashab, MH
2016
GIS-based landslide spatial modeling in Ganzhou City, China
Hong, H
;
Naghibi, SA
;
Pourghasemi, HR
;
Pradhan, B
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
2021-01-01
Landslide susceptibility assessment along the dubair-dudishal section of the Karakoram Higway, Northwestern Himalayas, Pakistan
Iqbal, J
;
Peng, C
;
Hussain, ML
;
Pourghasemi, HR
;
De-Qiang, C
;
Shah, SU
;
Pradhan, B
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
2021-06-04
Wildland Fire Susceptibility Mapping Using Support Vector Regression and Adaptive Neuro-Fuzzy Inference System-Based Whale Optimization Algorithm and Simulated Annealing
Al-Fugara, A
;
Mabdeh, AN
;
Ahmadlou, M
;
Pourghasemi, HR
;
Al-Adamat, R
;
Pradhan, B
;
Al-Shabeeb, AR