Listar por autor "Abdel-Nasser, Mohamed"

Mostrando ítems 1-3 de 3

A Novel Smart Grid State Estimation Method Based on Neural Networks

Abdel-Nasser, Mohamed; Mahmoud, Karar; Kashef, Heba (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)

The rapid development in smart grids needs efficient state estimation methods. This paper presents a novel method for smart grid state estimation (e.g., voltages, active and reactive power loss) using artificial neural ...
Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics

Mahmoud, Karar; Abdel-Nasser, Mohamed; Kashef, Heba; Puig, Domenec; Lehtonen, Matti (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)

In the recent years, the penetration of photovoltaics (PV) has obviously been increased in unbalanced power distribution systems. Driven by this trend, comprehensive simulation tools are required to accurately analyze ...
Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs

Hassan, Loay; Saleh, Adel; Abdel-Nasser, Mohamed; Omer, Osama A.; Puig, Domenec (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)

Nuclei segmentation in whole-slide imaging (WSI) plays a crucial role in the field of computational pathology. It is a fundamental task for different applications, such as cancer cell type classification, cancer grading, ...