baharin bin ahmad

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1
Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
Nhu VH;Shirzadi A;Shahabi H;Singh SK;Al-Ansari N;Clague JJ;Jaafari A;Chen W;Miraki S;Dou J;Luu C;Gór...
2020 International journal of environmental research an... 244 views
2
Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models
Azareh A;Rahmati O;Rafiei-Sardooi E;Sankey JB;Lee S;Shahabi H;Ahmad BB;;
2019 The Science of the total environment 163 views
3
Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods
Chen W;Li Y;Xue W;Shahabi H;Li S;Hong H;Wang X;Bian H;Zhang S;Pradhan B;Ahmad BB;;
2020 The Science of the total environment 173 views
4
Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
He Q;Shahabi H;Shirzadi A;Li S;Chen W;Wang N;Chai H;Bian H;Ma J;Chen Y;Wang X;Chapi K;Ahmad BB;;
2019 The Science of the total environment 195 views

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National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine pmid:32316191 pmc7215797 doi:10.3390/ijerph17082749 viet-ha nhu ataollah shirzadi artificial intelligence Iran goodness-of-fit prediction accuracy logistic model tree shallow landslide