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Showing results 5 to 13 of 13
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Issue Date
Title
Author(s)
2017
GIS-based Groundwater Spring Potential Mapping Using Data Mining Boosted Regression Tree and Probabilistic Frequency Ratio Models in Iran
Mousavi, SM
;
Golkarian, A
;
Naghibi, SA
;
Kalantar, B
;
Pradhan, B
2016
GIS-based landslide spatial modeling in Ganzhou City, China
Hong, H
;
Naghibi, SA
;
Pourghasemi, HR
;
Pradhan, B
2018-10-10
Groundwater augmentation through the site selection of floodwater spreading using a data mining approach (case study: Mashhad Plain, Iran)
Naghibi, SA
;
Vafakhah, M
;
Hashemi, H
;
Pradhan, B
;
Alavi, SJ
2019-02-13
Groundwater potential mapping using a novel data-mining ensemble model
Kordestani, MD
;
Naghibi, SA
;
Hashemi, H
;
Ahmadi, K
;
Kalantar, B
;
Pradhan, B
2018-03-01
Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS
Golkarian, A
;
Naghibi, SA
;
Kalantar, B
;
Pradhan, B
2018-10-01
Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches
Rahmati, O
;
Naghibi, SA
;
Shahabi, H
;
Bui, DT
;
Pradhan, B
;
Azareh, A
;
Rafiei-Sardooi, E
;
Samani, AN
;
Melesse, AM
2019-08-10
Inverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater
Motevalli, A
;
Naghibi, SA
;
Hashemi, H
;
Berndtsson, R
;
Pradhan, B
;
Gholami, V
2019-01-01
Optimized conditioning factors using machine learning techniques for groundwater potential mapping
Kalantar, B
;
Al-Najjar, HAH
;
Pradhan, B
;
Saeidi, V
;
Halin, AA
;
Ueda, N
;
Naghibi, SA
2020-06-01
Water Resources Management Through Flood Spreading Project Suitability Mapping Using Frequency Ratio, k-nearest Neighbours, and Random Forest Algorithms
Naghibi, SA
;
Vafakhah, M
;
Hashemi, H
;
Pradhan, B
;
Alavi, SJ