| Updating the neural network sediment load models using different sensitivity analysis methods: a regional application R Asheghi, SA Hosseini, M Saneie, A Abbaszadeh Shahri Journal of Hydroinformatics 22 (3), 562-577, 2020 | 154 | 2020 |
| Prediction of uniaxial compressive strength of different quarried rocks using metaheuristic algorithm R Asheghi, A Abbaszadeh Shahri, M Khorsand Zak Arabian Journal for Science and Engineering 44 (10), 8645-8659, 2019 | 60 | 2019 |
| Optimized developed artificial neural network-based models to predict the blast-induced ground vibration AA Shahri, R Asheghi Innovative Infrastructure Solutions 3 (1), 1-10, 2018 | 52 | 2018 |
| A hybridized intelligence model to improve the predictability level of strength index parameters of rocks A Abbaszadeh Shahri, R Asheghi, M Khorsand Zak Neural Computing and Applications 33 (8), 3841-3854, 2021 | 34 | 2021 |
| Prediction of bedload transport rate using a block combined network structure SA Hosseini, A Abbaszadeh Shahri, R Asheghi Hydrological Sciences Journal 67 (1), 117-128, 2022 | 30 | 2022 |
| Automated intelligent hybrid computing schemes to predict blasting induced ground vibration A Abbaszadeh Shahri, F Pashamohammadi, R Asheghi, ... Engineering with Computers 38 (Suppl 4), 3335-3349, 2022 | 26 | 2022 |
| Prediction of bed load sediments using different artificial neural network models R Asheghi, SA Hosseini Frontiers of Structural and Civil Engineering 14, 374-386, 2020 | 18 | 2020 |
| Prediction of strength index parameters of different rock types using hybrid multi output intelligence model R Asheghi, A Abbaszadeh Shahri, M Khorsand Zak Arab J Sci Eng 44 (10), 8645-8659, 2019 | 5 | 2019 |
| Intelligent hybridized modeling approach to predict the bedload sediments in gravel-bed rivers R Asheghi, SA Hosseini, M Sanei Modeling Earth Systems and Environment, 1-10, 2022 | 4 | 2022 |
| Effective factors on suspended sediment load in southwestern basins of Iran B Saghafian, B Ghermezcheshmeh, M Samiei, R Asheghi Watershed Engineering and Management 1 (3), 140-152, 2009 | 4 | 2009 |
| A survey on the performance of fuzzy-neural network at predicting the average monthly discharge of catchment basin areas having snow regimes D Abbasi, A Ashrafzadeh, R Asheghi, E Merufinia Journal of Civil Engineering and Urbanism 4, 480-484, 2014 | 3 | 2014 |
| Estimation of Daily Discharge of Baranduz River via Chaos Theory APM Aghdam, R Asheghi, E Merufinia Journal homepage: http://www. ojceu. ir/main 293, 297, 2014 | | 2014 |
| عوامل موثر بر رسوبدهی معلق حوزههای آبخیز جنوب غربی ایران ثقفیان, قرمزچشمه, باقر, سمیعی, عاشقی مهندسی و مدیریت آبخیز 1 (3), 140-152, 2009 | | 2009 |
Abbas Abbaszadeh ShahriRoyal Institute of Technology在 kth.se 的电子邮件经过验证
