ataollah shirzadi

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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
Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping
Shirzadi A;Soliamani K;Habibnejhad M;Kavian A;Chapi K;Shahabi H;Chen W;Khosravi K;Thai Pham B;Pradha...
2018 sensors 174 views
3
Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping
Shafizadeh-Moghadam H;Valavi R;Shahabi H;Chapi K;Shirzadi A;;
2018 Journal of environmental management 326 views
4
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)
Tien Bui D;Shirzadi A;Shahabi H;Chapi K;Omidavr E;Pham BT;Talebpour Asl D;Khaledian H;Pradhan B;Pana...
2019 sensors 171 views
5
Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping
Ataollah Shirzadi;Karim Soliamani;Mahmood Habibnejhad;Ataollah Kavian;Kamran Chapi;Himan Shahabi;Wei...
2018 sensors DOI: 10.3390/s18113777 257 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 baharin bin ahmad artificial intelligence Iran goodness-of-fit prediction accuracy logistic model tree shallow landslide