Theo dơi
Mohammadtaghi Avand
Mohammadtaghi Avand
Postdoc in Tarbiat Modares University
Email được xác minh tại modares.ac.ir
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran
Saeid Janizadeh, Mohammadtaghi Avand, Abolfazl Jaafari, Tran Van Phong ...
Sustainability 11 (19), 2019
2522019
Performance evaluation of machine learning methods for forest fire modeling and prediction
BT Pham, A Jaafari, M Avand, N Al-Ansari, T Dinh Du, HPH Yen, ...
Symmetry 12 (6), 1022, 2020
1872020
Soft computing ensemble models based on logistic regression for groundwater potential mapping
PT Nguyen, DH Ha, M Avand, A Jaafari, HD Nguyen, N Al-Ansari, ...
Applied Sciences 10 (7), 2469, 2020
1852020
GIS based hybrid computational approaches for flash flood susceptibility assessment
BT Pham, M Avand, S Janizadeh, TV Phong, N Al-Ansari, LS Ho, S Das, ...
Water 12 (3), 683, 2020
1842020
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
S Talukdar, B Ghose, Shahfahad, R Salam, S Mahato, QB Pham, ...
Stochastic Environmental Research and Risk Assessment 34, 2277-2300, 2020
1812020
Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability
M Avand, H Moradi
Journal of Hydrology 595, 125663, 2021
1322021
GIS-based machine learning algorithms for gully erosion susceptibility mapping in a semi-arid region of Iran
X Lei, W Chen, M Avand, S Janizadeh, N Kariminejad, H Shahabi, ...
Remote Sensing 12 (15), 2478, 2020
1262020
Flood susceptibility mapping using an improved analytic network process with statistical models
P Yariyan, M Avand, RA Abbaspour, A Torabi Haghighi, R Costache, ...
Geomatics, Natural Hazards and Risk 11 (1), 2282-2314, 2020
1182020
A tree-based intelligence ensemble approach for spatial prediction of potential groundwater
M Avand, S Janizadeh, D Tien Bui, VH Pham, PTT Ngo, VH Nhu
International Journal of Digital Earth 13 (12), 1408-1429, 2020
1102020
DEM resolution effects on machine learning performance for flood probability mapping
M Avand, A Kuriqi, M Khazaei, O Ghorbanzadeh
Journal of Hydro-Environment Research 40, 1-16, 2022
1082022
Shallow landslide susceptibility mapping by random forest base classifier and its ensembles in a semi-arid region of Iran
VH Nhu, A Shirzadi, H Shahabi, W Chen, JJ Clague, M Geertsema, ...
Forests 11 (4), 421, 2020
1072020
A comparative assessment of random forest and k-nearest neighbor classifiers for gully erosion susceptibility mapping
M Avand, S Janizadeh, SA Naghibi, HR Pourghasemi, ...
Water 11 (10), 2076, 2019
1072019
Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment
R Costache, QB Pham, M Avand, NTT Linh, M Vojtek, J Vojteková, S Lee, ...
Journal of Environmental Management 265, 110485, 2020
1012020
GIS-based gully erosion susceptibility mapping: a comparison of computational ensemble data mining models
VH Nhu, S Janizadeh, M Avand, W Chen, M Farzin, E Omidvar, A Shirzadi, ...
Applied Sciences 10 (6), 2039, 2020
942020
A semi-automated object-based gully networks detection using different machine learning models: a case study of Bowen catchment, Queensland, Australia
H Shahabi, B Jarihani, S Tavakkoli Piralilou, D Chittleborough, M Avand, ...
Sensors 19 (22), 4893, 2019
802019
Flash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis
R Costache, TT Tin, A Arabameri, A Crăciun, RS Ajin, I Costache, ...
Journal of Hydrology 609, 127747, 2022
732022
Spatial prediction of future flood risk: an approach to the effects of climate change
M Avand, HR Moradi, M Ramazanzadeh Lasboyee
Geosciences 11 (1), 25, 2021
662021
GIS-based spatial modeling of snow avalanches using four novel ensemble models
P Yariyan, M Avand, RA Abbaspour, M Karami, JP Tiefenbacher
Science of The Total Environment 745, 141008, 2020
642020
New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping
R Costache, R Țîncu, I Elkhrachy, QB Pham, MC Popa, DC Diaconu, ...
Hydrological Sciences Journal 65 (16), 2816-2837, 2020
622020
Optimization of statistical and machine learning hybrid models for groundwater potential mapping
P Yariyan, M Avand, E Omidvar, QB Pham, NTT Linh, JP Tiefenbacher
Geocarto International 37 (13), 3877-3911, 2022
552022
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