Publications by Karim Mahmoud
Peer reviewed
Articles
[1]
M. R. Abdelnour et al., "Prompt gamma neutron activation analysis: A review of applications, design, analytics, challenges, and prospects," Radiation Physics and Chemistry, vol. 234, 2025.
[2]
K. Hossny et al., "Decision tree insights analytics (DTIA) tool : an analytic framework to identify insights from large data records across fields of science," Machine Learning : Science and Technology, vol. 5, no. 4, 2024.
[3]
K. Hossny, W. Villanueva and H. Wang, "Distinctive physical insights driven from machine learning modelling of nuclear power plant severe accident scenario propagation," Scientific Reports, vol. 13, no. 1, 2023.
Conference papers
[4]
K. Hossny and W. Villanueva, "Analysing Nuclear Reactor Severe Accident Time-Wise Propagation Stages using DTIA," in ANS Annual Conference, 2025, Chicago, United States of America, Jun 15 2025 - Jun 18 2025, 2025, pp. 510-513.
[5]
K. Hossny and W. Villanueva, "Towards Objectivity in Nuclear Severe Accidents Analysis via K-Means Clustering and Decision Tree Insights Analytics (DTIA) Framework," in ICAPP 2025 International Congress on Advances in Nuclear Power Plants, ANTIPOLIS - Palais des Congrès d'Antibes, France, Sep 17-19, 2025, 2025.
Non-peer reviewed
Theses
[6]
K. Hossny, "Decision Tree Insights Analytics (DTIA): An Explainable AI Framework for Severe Accident Analysis," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-SCI-FOU, 2025:78, 2025.
Other
[7]
K. Hossny and W. Villanueva, "Nuclear Reactor Core Relocation during Severe Accident Analysis using Decision Tree Insights Analytics (DTIA)," (Manuscript).
[8]
K. Hossny, W. Villanueva and E. Mostafa, "Objective Segmentation of Nuclear Reactor Pressure Vessel Structural Analysis Variables using Decision Tree Insights Analytics (DTIA)," (Manuscript).
Latest sync with DiVA:
2026-01-11 01:34:00 UTC