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pro vyhledávání: '"Maher, Ben"'
In this work, we describe our approach to developing an intelligent and robust social robotic system for the Nadine social robot platform. We achieve this by integrating Large Language Models (LLMs) and skilfully leveraging the powerful reasoning and
Externí odkaz:
http://arxiv.org/abs/2405.20189
Autor:
MAHER BEN BRAHIM, Meriam BenHamida-Rebai, Nihel Haddad, Lamia Tilouche, Abdelhalim Trabelsi, Soumaya Ketata
Publikováno v:
Microbes and Infectious Diseases, Vol 5, Iss 1, Pp 347-358 (2024)
Background: Invasive candidiasis (IC) has emerged worldwide as an important healthcare associated infection caused by Candida species. Nowadays, data on the epidemiology of IC and the antifungal susceptibility of Candida isolates in Tunisia are still
Externí odkaz:
https://doaj.org/article/6d299cc46f1b40c9bf41c6649e7a54ac
Publikováno v:
Sensors, Vol 24, Iss 8, p 2626 (2024)
Recently, Machine Learning (ML)-based solutions have been widely adopted to tackle the wide range of security challenges that have affected the progress of the Internet of Things (IoT) in various domains. Despite the reported promising results, the M
Externí odkaz:
https://doaj.org/article/d67f9dab6070420db77f7619dd7df725
Publikováno v:
Computation, Vol 12, Iss 3, p 44 (2024)
Brain tumor diagnosis traditionally relies on the manual examination of magnetic resonance images (MRIs), a process that is prone to human error and is also time consuming. Recent advancements leverage machine learning models to categorize tumors, su
Externí odkaz:
https://doaj.org/article/5f8f427346af4c0aa702780c728fe3bd
Autor:
Brahim, Maher Ben, BenHamida-Rebai, Meriam, Haddad, Nihel, Tilouche, Lamia, Boughattas, Sameh, Azouzi, Farah, Trabelsi, Abdelhalim, Ketata, Soumaya
Publikováno v:
Microbes & Infectious Diseases; Aug2024, Vol. 5 Issue 3, p1020-1031, 12p
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10994 (2023)
The effectiveness of deep learning models depends on their architecture and topology. Thus, it is essential to determine the optimal depth of the network. In this paper, we propose a novel approach to learn the optimal depth of a stacked AutoEncoder,
Externí odkaz:
https://doaj.org/article/3debeac4e9684c6a955fa31b02cacd2f
Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9673 (2023)
Semi-supervised clustering typically relies on both labeled and unlabeled data to guide the learning process towards the optimal data partition and to prevent falling into local minima. However, researchers’ efforts made to improve existing semi-su
Externí odkaz:
https://doaj.org/article/c797660076d84f008e3a47cc3dc44cf5
Autor:
Nasr Chalghaf, Wen Chen, Amayra Tannoubi, Noomen Guelmami, Luca Puce, Noureddine Ben Said, Maher Ben Khalifa, Fairouz Azaiez, Nicola Luigi Bragazzi
Publikováno v:
JMIR Formative Research, Vol 6, Iss 12, p e29130 (2022)
BackgroundPhysical education teachers often experience stress and job disengagement. ObjectiveThis study’s aims were as follows: (1) to adapt in the Arabic language and test the reliability and the validity of the work–family conflict (WFC) and
Externí odkaz:
https://doaj.org/article/e01c10f0570d4705944a7ed4f27add30
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Publikováno v:
Computers, Vol 12, Iss 8, p 148 (2023)
The rapid development of Internet of Things (IoT) networks has revealed multiple security issues. On the other hand, machine learning (ML) has proven its efficiency in building intrusion detection systems (IDSs) intended to reinforce the security of
Externí odkaz:
https://doaj.org/article/7978753b89c54aedb60148ee703858b5