| Modeling of wheat soaking using two artificial neural networks (MLP and RBF) M Kashaninejad, AA Dehghani, M Kashiri Journal of food engineering 91 (4), 602-607, 2009 | 172 | 2009 |
| Predicting rainfed wheat quality and quantity by artificial neural network using terrain and soil characteristics M Norouzi, S Ayoubi, A Jalalian, H Khademi, AA Dehghani Acta Agriculturae Scandinavica Section B–Soil and Plant Science 60 (4), 341-352, 2010 | 84 | 2010 |
| Estimation of soil mechanical resistance parameter by using particle swarm optimization, genetic algorithm and multiple regression methods M Hosseini, SAM Naeini, AA Dehghani, Y Khaledian Soil and Tillage Research 157, 32-42, 2016 | 74 | 2016 |
| Hydraulic performances of various trickle irrigation emitters. A Hezarjaribi, AA Dehghani, MM Helghi, A Kiani | 60 | 2008 |
| Estimation of surface shear strength in Zagros region of Iran—a comparison of artificial neural networks and multiple-linear regression models B Khalilmoghadam, M Afyuni, KC Abbaspour, A Jalalian, AA Dehghani, ... Geoderma 153 (1-2), 29-36, 2009 | 59 | 2009 |
| Local scouring around L-head groynes AA Dehghani, HM Azamathulla, SAH Najafi, SA Ayyoubzadeh Journal of hydrology 504, 125-131, 2013 | 45 | 2013 |
| 3D Numerical simulation of scouring around bridge piers (Case Study: Bridge 524 crosses the Tanana River) T Esmaeili, AA Dehghani, AR Zahiri, K Suzuki International Journal of Civil and Environmental Engineering 3 (10), 422-426, 2009 | 42 | 2009 |
| Bedload equation analysis using bed load-material grain size A Haddadchi, MH Omid, AA Dehghani Journal of Hydrology and Hydromechanics 61 (3), 241-249, 2013 | 38 | 2013 |
| Description of biomechanical forces and physiological parameters of fruit cracking in pomegranate H Saei, MM Sharifani, A Dehghani, E Seifi, V Akbarpour Scientia Horticulturae 178, 224-230, 2014 | 37 | 2014 |
| Evolution of developing flushing cone during the pressurized flushing in reservoir storage ME Meshkati, AA Dehghani, G Naser, S Emamgholizadeh, A Mosaedi World Academy of Science, Engineering and Technology 58, 1107-1111, 2009 | 34 | 2009 |
| Flow discharge determination in straight compound channels using ANNs A Zahiri, AA Dehghani International Journal of Computer and Information Engineering 3 (10), 2331-2334, 2009 | 33 | 2009 |
| Modelling of sorghum soaking using artificial neural networks (MLP) M Kashiri, A Daraei Garmakhany, AA Dehghani Quality Assurance and Safety of Crops & Foods 4 (4), 179-184, 2012 | 29 | 2012 |
| Comparison between artificial neural networks and mathematical models for moisture ratio estimation in two varieties of green malt N Aghajani, M Kashaninejad, AA Dehghani, A Daraei Garmakhany Quality Assurance and Safety of Crops & Foods 4 (2), 93-101, 2012 | 27 | 2012 |
| Intelligent estimation of flood hydrographs using an adaptive neuro–fuzzy inference system (ANFIS) hamid Pahlavani, AA Dehghani, AR Bahremand, S Shojaei Modeling Earth Systems and Environment 3, 1-9, 2017 | 26 | 2017 |
| Comparative study of dietary soy phytoestrogens genistein and equol effects on growth parameters and ovarian development in farmed female beluga sturgeon, Huso hus o A Yousefi Jourdehi, M Sudagar, M Bahmani, SA Hosseini, AA Dehghani, ... Fish physiology and biochemistry 40, 117-128, 2014 | 26 | 2014 |
| Evaluation of suspended load transport rate using transport formulas and artificial neural network models (Case study: Chelchay Catchment) A Haddadchi, N Movahedi, E Vahidi, MH Omid, AA Dehghani Journal of Hydrodynamics, Ser. B 25 (3), 459-470, 2013 | 25 | 2013 |
| Experimental and numerical investigation of the flow field in the gradual transition of rectangular to trapezoidal open channels A Asnaashari, AA Akhtari, AA Dehghani, H Bonakdari Engineering Applications of Computational Fluid Mechanics 10 (1), 272-282, 2016 | 24 | 2016 |
| Application of gene-expression programming in hydraulic engineering A Zahiri, AA Dehghani, HM Azamathulla Handbook of genetic programming applications, 71-97, 2015 | 23 | 2015 |
| Numerical simulation of groundwater level using MODFLOW software (a case study: Narmab watershed, Golestan province). N Koohestani, MM Halaghi, A Dehghani | 23 | 2013 |
| Intelligent estimation of the canola oil stability using artificial neural networks AA Dehghani, ZB Mohammadi, Y Maghsoudlou, AS Mahoonak Food and bioprocess technology 5, 533-540, 2012 | 22 | 2012 |
Neshat MovahediUniversity of Massachusetts在 uml.edu 的电子邮件经过验证
