Which CNNs and Training Settings to Choose for Action Unit Detection? A Study Based on a Large-Scale Dataset. - Mina Bishay; Ahmed Ghoneim; Mohamed Ashraf; Mohammad Mavadati (FG, 2021)

Choose Settings Carefully: Comparing Action Unit Detection At Different Settings Using A Large-Scale Dataset. - Mina Bishay; Ahmed Ghoneim; Mohamed Ashraf; Mohammad Mavadati (ICIP, 2021)

A New Hybrid Dual Active Bridge Modular Multilevel Based DC-DC Converter for HVDC Networks. - Mohamed Ashraf; Yousef Nazih; Fahad S. Al Sokhiry; Khaled H. Ahmed; Ayman S. Abdel-Khalik; Yusuf Al-Turki 001 (IEEE Access, 2021)

A Robust Privacy Preserving Approach for Sanitizing Transaction Databases from Sensitive High Utility Patterns. - Mohamed Ashraf; Sherine Rady; Tamer Abdelkader; Tarek F. Gharib (AISI, 2022)

TKN: An efficient approach for discovering top-k high utility itemsets with positive or negative profits. - Mohamed Ashraf; Tamer Abdelkader; Sherine Rady; Tarek F. Gharib (Inf. Sci., 2022)

Lane and Bump Detection Based on Computer Vision and Deep Learning Methods. - Ahmed Magdy; Shrouk Abdelfattah; Samia Mohamed; Mohamed Khaled; Mohamed Mahmoud; Mohamed Ashraf; Ahmed H. Eldeib (AISI, 2023)

Efficient privacy preserving algorithms for hiding sensitive high utility itemsets. - Mohamed Ashraf; Sherine Rady; Tamer Abdelkader; Tarek F. Gharib (Comput. Secur., 2023)