| Detecting explosives by PGNAA using KNN Regressors and decision tree classifier: A proof of concept K Hossny, S Magdi, AY Soliman, AH Hossny Progress in Nuclear Energy 124, 103332, 2020 | 23 | 2020 |
| Detecting shielded explosives by coupling prompt gamma neutron activation analysis and deep neural networks K Hossny, AH Hossny, S Magdi, AY Soliman, M Hossny Scientific Reports 10 (1), 1-8, 2020 | 22 | 2020 |
| Non-intrusive stochastic approach for nuclear cross-sections adjustment D Huang, J Seo, S Magdi, A Badawi, H Abdel-Khalik Annals of Nuclear Energy 155, 108162, 2021 | 5 | 2021 |
| NEUTRON DEPTH PROFILE CALCULATIONS USING ARTIFICIAL NEURAL NETWORKS K Hossny, S Magdi, F Nasr, Y Yasser, A Magdy EPJ Web of Conferences 247, 06046, 2021 | 5 | 2021 |
| Corrigendum to “Non-intrusive stochastic approach for nuclear cross-sections adjustment”[Ann. Nucl. Energy 155 (2021) 108162] D Huang, J Seo, S Magdi, A Badawi, H Abdel-Khalik Annals of Nuclear Energy 159, 108371, 2021 | | 2021 |
| Non-intrusive stochastic approach for nuclear cross-sections adjustment (vol 155, pg 108, 2021) D Huang, J Seo, S Magdi, A Badawi, H Abdel-Khalik ANNALS OF NUCLEAR ENERGY 157, 2021 | | 2021 |
| Erratum to “Non-intrusive stochastic approach for nuclear cross-sections adjustment”[Ann. Nucl. Energy 155 (2021) 108162] D Huang, J Seo, S Magdi, A Badawi, H Abdel-Khalik Annals of Nuclear Energy 157, 108264, 2021 | | 2021 |
K. HossnyNuclear Science and Engineering (NSE) Division, KTH Royal Institute of Technology在 kth.se 的电子邮件经过验证
