| Transient identification in nuclear power plants: A review K Moshkbar-Bakhshayesh, MB Ghofrani Progress in Nuclear Energy 67, 23-32, 2013 | 100 | 2013 |
| Comparative study of application of different supervised learning methods in forecasting future states of NPPs operating parameters K Moshkbar-Bakhshayesh Annals of Nuclear Energy 132, 87-99, 2019 | 32 | 2019 |
| Development of an efficient identifier for nuclear power plant transients based on latest advances of error back-propagation learning algorithm K Moshkbar-Bakhshayesh, MB Ghofrani IEEE Transactions on Nuclear Science 61 (1), 602-610, 2014 | 31 | 2014 |
| Development of a robust identifier for NPPs transients combining ARIMA model and EBP algorithm K Moshkbar-Bakhshayesh, MB Ghofrani IEEE Transactions on Nuclear Science 61 (4), 2383-2391, 2014 | 30 | 2014 |
| Classification of NPPs transients using change of representation technique: a hybrid of unsupervised MSOM and supervised SVM K Moshkbar-Bakhshayesh, S Mohtashami Progress in Nuclear Energy 117, 103100, 2019 | 19 | 2019 |
| Performance study of bayesian regularization based multilayer feed-forward neural network for estimation of the uranium price in comparison with the different supervised … K Moshkbar-Bakhshayesh Progress in Nuclear Energy 127, 103439, 2020 | 18 | 2020 |
| Prediction of unmeasurable parameters of NPPs using different model-free methods based on cross-correlation detection of measurable/unmeasurable parameters: A comparative study K Moshkbar-Bakhshayesh Annals of Nuclear Energy 139, 107232, 2020 | 18 | 2020 |
| Identification of the appropriate architecture of multilayer feed-forward neural network for estimation of NPPs parameters using the GA in combination with the LM and the BR … K Moshkbar-Bakhshayesh Annals of Nuclear Energy 156, 108222, 2021 | 16 | 2021 |
| Combining supervised and semi-supervised learning in the design of a new identifier for NPPs transients K Moshkbar-Bakhshayesh, MB Ghofrani IEEE Transactions on Nuclear Science 63 (3), 1882-1888, 2016 | 16 | 2016 |
| Detection and estimation of faulty sensors in NPPs based on thermal-hydraulic simulation and feed-forward neural network A Ebrahimzadeh, M Ghafari, K Moshkbar-Bakhshayesh Annals of Nuclear Energy 166, 108726, 2022 | 15 | 2022 |
| Applications of Soft Computing in nuclear power plants: A review I Ramezani, K Moshkbar-Bakhshayesh, N Vosoughi, MB Ghofrani Progress in Nuclear Energy 149, 104253, 2022 | 14 | 2022 |
| Development of a modular system for estimating attenuation coefficient of gamma radiation: comparative study of different learning algorithms of cascade feed-forward neural network K Moshkbar-Bakhshayesh Journal of Instrumentation 14 (10), P10010, 2019 | 13 | 2019 |
| Development of a new method for forecasting future states of NPPs parameters in transients K Moshkbar-Bakhshayesh, MB Ghofrani IEEE Transactions on Nuclear Science 61 (5), 2636-2642, 2014 | 13 | 2014 |
| A simulation of a pebble bed reactor core by the MCNP-4C computer code MK Bakhshayesh, N Vosoughi Nuclear Technology and Radiation Protection 24 (3), 177-182, 2009 | 12 | 2009 |
| Evaluation of the performance of different feature selection techniques for identification of NPPs transients using deep learning I Ramezani, N Vosoughi, K Moshkbar-Bakhshayesh, MB Ghofrani Annals of Nuclear Energy 183, 109668, 2023 | 11 | 2023 |
| Unsupervised classification of NPPs transients based on online dynamic quantum clustering K Moshkbar-Bakhshayesh, E Pourjafarabadi The European Physical Journal Plus 134 (10), 483, 2019 | 10 | 2019 |
| Inspection of cargo using dual-energy X-ray radiography: A review K Moshkbar-Bakhshayesh, H Afarideh, R Azimirad Radiation Physics and Chemistry 212, 111180, 2023 | 9 | 2023 |
| Investigating the performance of the supervised learning algorithms for estimating NPPs parameters in combination with the different feature selection techniques K Moshkbar-Bakhshayesh Annals of Nuclear Energy 158, 108299, 2021 | 8 | 2021 |
| Development of a new features selection algorithm for estimation of NPPs operating parameters K Moshkbar-Bakhshayesh, M Ghanbari, MB Ghofrani Annals of Nuclear Energy 146, 107667, 2020 | 8 | 2020 |
| Estimating buildup factor of alloys based on combination of Monte Carlo method and multilayer feed-forward neural network K Moshkbar-Bakhshayesh, S Mohtashami, M Sahraeian Annals of Nuclear Energy 152, 108023, 2021 | 7 | 2021 |
