Zobrazeno 1 - 10
of 16 004
pro vyhledávání: '"Al. Ali"'
Online learning of deep neural networks suffers from challenges such as hysteretic non-incremental updating, increasing memory usage, past retrospective retraining, and catastrophic forgetting. To alleviate these drawbacks and achieve progressive imm
Externí odkaz:
http://arxiv.org/abs/2412.13096
This paper investigates the potential privacy risks associated with forecasting models, with specific emphasis on their application in the context of smart grids. While machine learning and deep learning algorithms offer valuable utility, concerns ar
Externí odkaz:
http://arxiv.org/abs/2309.01523
Autor:
Said A. Salloum, Tarek Gaber, Mohammed Amin Almaiah, Rami Shehab, Romel Al-Ali, Theyazan H.H Aldahyani
Publikováno v:
International Journal of Data and Network Science, Vol 9, Iss 1, Pp 77-86 (2025)
In the dynamic field of cybersecurity within intelligent vehicle systems, the sophistication of threats necessitates continual advancements in security technologies. Traditional Network Intrusion Detection Systems (NIDS) often fall short in detecting
Externí odkaz:
https://doaj.org/article/2d98c4f42185478984397c8ecdf32fcc
Publikováno v:
International Journal of Data and Network Science, Vol 9, Iss 1, Pp 115-124 (2025)
Mobile learning application now is considered a powerful application for learning and was adopted in universities in the period of Covid-19. After Covid-19 pandemic, university students have been allowed to use mobile learning systems, it is needed t
Externí odkaz:
https://doaj.org/article/f91e30740d0e43e0b8c398b333898597
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 29-40 (2024)
In this article, we propose a new class of nonlinear fractional differential equations of diabetes disease based on the concept of Caputo fractional derivative. Two numerical techniques are introduced to analyze the solution of the general fractional
Externí odkaz:
https://doaj.org/article/e80e9c77557c4b03a7abded3699f3d70