Zobrazeno 1 - 10
of 220
pro vyhledávání: '"Zouinkhi, A."'
Autor:
Patton, William, Rhoades, Jeff L., Zouinkhi, Marwan, Ackerman, David G., Malin-Mayor, Caroline, Adjavon, Diane, Heinrich, Larissa, Bennett, Davis, Zubov, Yurii, Team, CellMap Project, Weigel, Aubrey V., Funke, Jan
DaCapo is a specialized deep learning library tailored to expedite the training and application of existing machine learning approaches on large, near-isotropic image data. In this correspondence, we introduce DaCapo's unique features optimized for t
Externí odkaz:
http://arxiv.org/abs/2408.02834
Machine learning models are only as good as the data to which they are fit. As such, it is always preferable to use as much data as possible in training models. What data can be used for fitting a model depends a lot on the formulation of the task. W
Externí odkaz:
http://arxiv.org/abs/2406.17936
Autor:
Hanen Issaoui, Asma Eladel, Ahmed Zouinkhi, Mourad Zaied, Lazhar Khriji, Sarvar Hussain Nengroo
Publikováno v:
IEEE Access, Vol 12, Pp 138341-138350 (2024)
Machine learning algorithms based on deep neural networks have been widely used in many fields especially in computer vision, with impressive results. However, these models are vulnerable to different types of attacks like adversarial ones, which req
Externí odkaz:
https://doaj.org/article/6371b132c1c24ef0aad290f58f9c5999
Publikováno v:
PeerJ Computer Science, Vol 10, p e1997 (2024)
In wireless sensor networks (WSN), conserving energy is usually a basic issue, and several approaches are applied to optimize energy consumption. In this article, we adopt feature selection approaches by using minimum redundancy maximum relevance (MR
Externí odkaz:
https://doaj.org/article/a1a9042050094939b6a33e1919ac3a41
Publikováno v:
Actuators, Vol 13, Iss 7, p 253 (2024)
Synchronizing a network of robots in consensus is an important task for cooperative work. Detecting faults in a network of robots in consensus is a much more important task. In considering a formation of Wheeled Mobile Robots (WMRs) in a master–sla
Externí odkaz:
https://doaj.org/article/e65581bdaa104019b5ceb042115d5c33
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Hanen Issaoui, Asma Eladel, Ahmed Zouinkhi, Mourad Zaied, Lazhar Khriji, Sarvar Hussain Nengroo, Sangkeum Lee
Publikováno v:
IEEE Access, Vol 12, Pp 173108-173108 (2024)
Presents corrections to the paper, (Corrections to “Defending CNN Against FGSM Attacks Using Beta-Based Personalized Activation Functions and Adversarial Training”).
Externí odkaz:
https://doaj.org/article/1010acf578e849a5b095c9bd7c714cde
Publikováno v:
In IFAC PapersOnLine 2022 55(10):1924-1929
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Wireless sensor networks (WSN) have recently gained a great deal of attention as a topic of research, with a wide range of applications being explored such as communicating materials. Data dissemination and storage are very important issues for senso
Externí odkaz:
http://arxiv.org/abs/1509.03988