Mohammadtaghi Avand

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	3197	3182
h-индекс	31	31
i10-индекс	36	36

840

420

210

630

20192020202120222023202420258 224 468 828 729 766 159

Публичен достъп

Преглед на всички

4 статии

0 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Saeid JanizadehUniversity of HawaiiПотвърден имейл адрес: hawaii.edu
Romulus-Dumitru CostacheNational Institute of Hydrology and Water ManagementПотвърден имейл адрес: hidro.ro
Indra PrakashGeological Survey of India, Dy.DG(R), Collaborative ResearcherПотвърден имейл адрес: bisag.gujarat.gov.in
Tran Van PhongMSc, Institute of Geological Sciences (VAST)Потвърден имейл адрес: igsvn.vast.vn
Hamidreza MoradiHamid Reza MoradiПотвърден имейл адрес: modares.ac.ir
Peyman YariyanPhD. RS/GIS, University of TabrizПотвърден имейл адрес: tabrizu.ac.ir
John P. TiefenbacherProfessor of Geography, Texas State UniversityПотвърден имейл адрес: txstate.edu
Abolfazl JaafariResearch Institute of Forests and Rangelands, Tehran, IranПотвърден имейл адрес: rifr-ac.ir
Nadhir Al-AnsariLulea University of TechnologyПотвърден имейл адрес: ltu.se
Omid GhorbanzadehUniversity of Natural Resources and Life Sciences (BOKU)Потвърден имейл адрес: boku.ac.at
Saro LeeKorea Institute of Geoscience and Mineral ResourcesПотвърден имейл адрес: kigam.re.kr
Himan ShahabiDepartment of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, IranПотвърден имейл адрес: uok.ac.ir
Ataollah ShirzadiDept. of Watershed Management, Faculty of Natural Resources, University of Kurdistan, Sanandaj, IranПотвърден имейл адрес: uok.ac.ir
Thomas BlaschkeUniversity of Salzburg Department of GeoinformaticsПотвърден имейл адрес: sbg.ac.at
huu duy NguyenUniversity of Science, Vietnam National University, HanoiПотвърден имейл адрес: vnu.edu.vn
Mohsen FarzinAssociate Professor of Watershed Management, Yasouj UniversityПотвърден имейл адрес: yu.ac.ir
Dawood Talebpour AslDep. Geomorphology, Faculty of Natural resources, University of Kurdistan, Sanandaj, IranПотвърден имейл адрес: uok.ac.ir
Saleh YousefiAssistant Prof., Soil Conservation and Watershed Management Research Department, Chaharmahal andПотвърден имейл адрес: areeo.ac.ir
Hejar ShahabiPhD Candidate of Environmental Remote Sensing, INRS, QuebecПотвърден имейл адрес: inrs.ca
Viet-Ha Nhu, PhDHanoi University of Mining and GeologyПотвърден имейл адрес: humg.edu.vn

Следене

Mohammadtaghi Avand

Postdoc in Tarbiat Modares University

Потвърден имейл адрес: modares.ac.ir

Watershed Management Land use and Climate change Natural Hazards Spatial Modeling


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
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	257	2019
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	213	2020
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	201	2020
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	196	2020
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	186	2020
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	138	2021
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	133	2020
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	131	2020
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	114	2022
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	114	2020
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	110	2020
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	110	2020
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	110	2019
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	98	2020
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	90	2019
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	80	2022
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	69	2021
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	69	2020
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	68	2020
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	60	2022

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