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ALIREZA MOGHADDAM NIA
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Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction
R Noori, AR Karbassi, A Moghaddamnia, D Han, MH Zokaei-Ashtiani, ...
Journal of hydrology 401 (3-4), 177-189, 2011
4592011
Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques
A Moghaddamnia, MG Gousheh, J Piri, S Amin, D Han
Advances in Water Resources 32 (1), 88-97, 2009
4022009
Daily suspended sediment load prediction using artificial neural networks and support vector machines
EK Lafdani, A Moghaddam Nia, A Ahmadi
Journal of Hydrology 478, 50-62, 2013
3072013
Application of ANN and ANFIS models for reconstructing missing flow data
MT Dastorani, A Moghaddam Nia, J Piri, M Rico-Ramirez
Environmental Monitoring and Assessment 166 (1), 421–434, 2010
2042010
Application of several data-driven techniques for predicting groundwater level
B Shirmohammadi, M Vafakhah, V Moosavi, A Moghaddam Nia
Water Resources Management 27 (2), 419-432, 2013
1792013
Comparison of LLR, MLP, Elman, NNARX and ANFIS Models—with a case study in solar radiation estimation
A Moghaddam Nia, R Remesan, MH Kashani, M Mohammadi, D Han, ...
Journal of Atmospheric and Solar-Terrestrial Physics 71 (8), 975-982, 2009
1752009
Performance comparison of an LSTM-based deep learning model versus conventional machine learning algorithms for streamflow forecasting
M Rahimzad, A Moghaddam Nia, H Zolfonoon, J Soltani, ...
Water Resources Management 35 (12), 4167-4187, 2021
1622021
Daily pan evaporation modeling in a hot and dry climate
J Piri, S Amin, A Moghaddam Nia, A Keshavarz, D Han, R Remesan
Journal of Hydrologic Engineering 14 (8), 803-811, 2009
1502009
Dust storms impacts on air pollution and public health under hot and dry climate
A Miri, H Ahmadi, A Ghanbari, A Moghaddam Nia
Int. J. Energy Environ 2 (1), 101-105, 2007
1432007
Intermittent streamflow forecasting by using several data driven techniques
O Kisi, A Moghaddam Nia, MG Gosheh, MRJ Tajabadi, A Ahmadi
Water resources management 26 (2), 457-474, 2012
1282012
Identification of homogeneous regions for regionalization of watersheds by two-level self-organizing feature maps
F Farsadnia, MR Kamrood, A Moghaddam Nia, R Modarres, MT Bray, ...
Journal of Hydrology 509, 387-397, 2014
1002014
Performance evaluation of ANN and ANFIS models for estimating garlic crop evapotranspiration
HZ Abyaneh, A Moghaddam Nia, MB Varkeshi, S Marofi, O Kisi
Journal of Irrigation and Drainage Engineering 137 (5), 280-286, 2010
812010
Assessment of drought risk index using drought hazard and vulnerability indices
M Nasrollahi, H Khosravi, A Moghaddamnia, A Malekian, S Shahid
Arabian Journal of Geosciences 11, 1-12, 2018
772018
Danandeh Mehr A, Kwon HH (2021) Performance comparison of an LSTM-based deep learning model versus conventional machine learning algorithms for streamflow forecasting
M Rahimzad, A Moghaddam Nia, H Zolfonoon, J Soltani
Water Resources Management 35 (12), 4167-4187, 0
74
A cost-effective and efficient framework to determine water quality monitoring network locations
H Alilou, A Moghaddam Nia, H Keshtkar, D Han, M Bray
Science of the total environment 624, 283-293, 2018
722018
Application of “panel-data” modeling to predict groundwater levels in the Neishaboor Plain, Iran
A Izady, K Davary, A Alizadeh, B Ghahraman, M Sadeghi, ...
Hydrogeology Journal 20 (3), 435-447, 2012
692012
Comparison of ANFIS, ANN, GARCH and ARIMA techniques to exchange rate forecasting
SM Fahimifard, M Homayounifar, M Sabouhi, AR Moghaddam Nia
Journal of Applied Sciences 9 (20), 3641-3651, 2009
642009
Dust storm frequency after the 1999 drought in the Sistan region, Iran
A Miri, A Moghaddamnia, A Pahlavanravi, N Panjehkeh
Climate Research 41 (1), 83-90, 2010
582010
Application of NN-ARX model to predict groundwater levels in the Neishaboor Plain, Iran
A Izady, K Davary, A Alizadeh, A Moghaddam Nia, AN Ziaei, ...
Water resources management 27 (14), 4773-4794, 2013
572013
Towards a flood vulnerability assessment of watershed using integration of decision-making trial and evaluation laboratory, analytical network process, and fuzzy theories
FS Hosseini, SK Sigaroodi, A Salajegheh, A Moghaddamnia, B Choubin
Environmental Science and Pollution Research 28, 62487-62498, 2021
542021
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