Automated regression-based statistical downscaling tool M Hessami, P Gachon, TBMJ Ouarda, A St-Hilaire Environmental modelling & software 23 (6), 813-834, 2008 | 399 | 2008 |
Geostatistics of near-surface moisture in bare cultivated organic soils F Anctil, R Mathieu, LÉ Parent, AA Viau, M Sbih, M Hessami Journal of Hydrology 260 (1-4), 30-37, 2002 | 87 | 2002 |
Evaluation of GMDH networks for prediction of local scour depth at bridge abutments in coarse sediments with thinly armored beds M Najafzadeh, GA Barani, MR Hessami-Kermani Ocean Engineering 104, 387-396, 2015 | 67 | 2015 |
Group method of data handling to predict scour depth around vertical piles under regular waves M Najafzadeh, GA Barani, MR Hessami-Kermani Scientia Iranica 20 (3), 406-413, 2013 | 65 | 2013 |
A first evaluation of the strength and weaknesses of statistical downscaling methods for simulating extremes over various regions of eastern Canada P Gachon, A St-Hilaire, T Ouarda, VTV Nguyen, C Lin, J Milton, ... Final report, Sub-component, Climate Change Action Fund (CCAF), Environment …, 2005 | 59 | 2005 |
Estimation of pipeline scour due to waves by GMDH M Najafzadeh, GA Barani, MR Hessami Kermani Journal of Pipeline Systems Engineering and Practice 5 (3), 06014002, 2014 | 51 | 2014 |
Uncertainty modeling of statistical downscaling to assess climate change impacts on temperature and precipitation R Najafi, MR Hessami Kermani Water resources management 31, 1843-1858, 2017 | 50 | 2017 |
Abutment scour in clear-water and live-bed conditions by GMDH network M Najafzadeh, GA Barani, MRH Kermani Water Science and Technology 67 (5), 1121-1128, 2013 | 48 | 2013 |
Group method of data handling to predict scour at downstream of a ski-jump bucket spillway M Najafzadeh, GA Barani, MR Hessami-Kermani Earth Science Informatics 7, 231-248, 2014 | 43 | 2014 |
Modeling ice growth on Canadian lakes using artificial neural networks O Seidou, TBMJ Ouarda, L Bilodeau, M Hessami, A St‐Hilaire, P Bruneau Water Resources Research 42 (11), 2006 | 40 | 2006 |
Characteristics of ice in the St. Lawrence River B Morse, M Hessami, C Bourel Canadian Journal of Civil Engineering 30 (4), 766-774, 2003 | 37 | 2003 |
Flood routing: improving outflow using a new non-linear Muskingum model with four variable parameters coupled with PSO-GA algorithm R Akbari, MR Hessami-Kermani, S Shojaee Water Resources Management 34, 3291-3316, 2020 | 28 | 2020 |
Selection of an artificial neural network model for the post-calibration of weather radar rainfall estimation M Hessami, F Anctil, AA Viau Journal of Data Science 2 (2), 107-124, 2004 | 26 | 2004 |
Abutment scour in live-bed and clear-water using GMDH Network M Najafzadeh, GA Barani, MR Hessami Kermani Water Sci Technol 67 (5), 1121-1128, 2013 | 25 | 2013 |
Delaunay implementation to improve kriging computing efficiency M Hessami, F Anctil, AA Viau Computers & Geosciences 27 (2), 237-240, 2001 | 18 | 2001 |
Mapping environmental conditions in the St. Lawrence River onto ice parameters using artificial neural networks to predict ice jams B Morse, M Hessami, C Bourel Canadian Journal of Civil Engineering 30 (4), 758-765, 2003 | 16 | 2003 |
Moving particle semi-implicit method with improved pressures stability properties M Arami Fadafan, MR Hessami Kermani Journal of Hydroinformatics 20 (6), 1268-1285, 2018 | 14 | 2018 |
Comparison of two GCM models (HadCM3 and CGCM2) for the prediction of climate parameters and crop water use under climate change (case study: Kashafrood Basin) N Sayari, A Alizadeh, M Bannayan Awal, AR Farid Hossaini, ... Water and Soil 25 (4), 2011 | 13 | 2011 |
Climate change impact on legumes' water production function in the northeast of Iran N Sayari, M Bannayan, A Alizadeh, A Farid, MR Hessami Kermani, ... Journal of Water and Climate Change 6 (2), 374-385, 2015 | 11 | 2015 |
Hybrid wavelet-GMDH model to forecast significant wave height S Shahabi, MJ Khanjani, M Hessami Kermani Water Science and Technology: Water Supply 16 (2), 453-459, 2016 | 10 | 2016 |