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Issue DateTitleAuthor(s)
2020-06-01Evaluating the performance of individual and novel ensemble of machine learning and statistical models for landslide susceptibility assessment at Rudraprayag district of Garhwal HimalayaSaha, S; Saha, A; Hembram, TK; Pradhan, B; Alamri, AM
2021-01-01Integrating multilayer perceptron neural nets with hybrid ensemble classifiers for deforestation probability assessment in Eastern IndiaSaha, S; Paul, GC; Pradhan, B; Abdul Maulud, KN; Alamri, AM
2021-01-01Robustness analysis of machine learning classifiers in predicting spatial gully erosion susceptibility with altered training samples“This is an Accepted Manuscript of an article published by Taylor & Francis in [Geomatics Natural Hazards and Risk, 2021, 12, (1), pp. 794-828], available online: https://www.tandfonline.com/doi/full/10.1080/19475705.2021.1890644]”; Hembram, TK; Saha, S; Pradhan, B; Abdul Maulud, KN; Alamri, AM
2020-08-01Flash flood susceptibility modelling using functional tree and hybrid ensemble techniquesArabameri, A; Saha, S; Chen, W; Roy, J; Pradhan, B; Bui, DT
2021-01-01Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of OdishaSaha, S; Kundu, B; Paul, GC; Mukherjee, K; Pradhan, B; Dikshit, A; Abdul Maulud, KN; Alamri, AM
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
2020-07-01Impact of COVID-19 induced lockdown on environmental quality in four Indian megacities Using Landsat 8 OLI and TIRS-derived data and Mamdani fuzzy logic modelling approachGhosh, S; Das, A; Hembram, TK; Saha, S; Pradhan, B; Alamri, AM
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
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