Zobrazeno 1 - 10
of 5 503
pro vyhledávání: '"A. koubaa"'
Autor:
N. Khouja, A. Koubaa, J. Hsinet, E. Baraketi, S. Ismail, G. Trabelsi, A. Benzarti, A. Ben Jemaa
Publikováno v:
European Psychiatry, Vol 66, Pp S869-S869 (2023)
Introduction Paramedical staffs in oncology are among the most exposed to stress factors in the workplace, predisposing them to develop certain psychiatric pathologies, in particular anxiety disorders, depressive syndromes and burnout. Objectives The
Externí odkaz:
https://doaj.org/article/8b72832879d9471d8e174f715a0717cc
Autor:
A. Koubaa, N. Khouja, S. Ismail, E. Bechrifa, E. Baraketi, A. Ben Jemaa, J. Hsinet, A. Benzarti
Publikováno v:
European Psychiatry, Vol 66, Pp S868-S868 (2023)
Introduction Growing attention has been drawn to workplace violence in healthcare settings and toward healthcare workers. Emergency departments have always been vulnerable to workplace violence since its is usually associated to working with people i
Externí odkaz:
https://doaj.org/article/89612f04b99841658607b6a8c518335c
Autor:
Nacar, Omer, Abdelkader, Mohamed, Ghouti, Lahouari, Gabr, Kahled, Al-Batati, Abdulrahman S., Koubaa, Anis
This paper tackles the challenge of real-time 3D trajectory prediction for UAVs, which is critical for applications such as aerial surveillance and defense. Existing prediction models that rely primarily on position data struggle with accuracy, espec
Externí odkaz:
http://arxiv.org/abs/2410.23305
In the field of sensor fusion and state estimation for object detection and localization, ensuring accurate tracking in dynamic environments poses significant challenges. Traditional methods like the Kalman Filter (KF) often fail when measurements ar
Externí odkaz:
http://arxiv.org/abs/2410.10409
Autor:
Koubaa, Amine
Let $X$ be a regular scheme over $\textrm{Spec}(\mathbb{Z}[1/p])$ where $p$ is prime. Let $i:Y\to X$ be a closed subscheme of pure codimension $r$. Let $n$ be a natural number prime to $p$. Let $\Lambda$ be a finite $\mathbb{Z}/n$-module over $X$. In
Externí odkaz:
http://arxiv.org/abs/2408.02542
Autor:
Nacar, Omer, Koubaa, Anis
This work presents a novel framework for training Arabic nested embedding models through Matryoshka Embedding Learning, leveraging multilingual, Arabic-specific, and English-based models, to highlight the power of nested embeddings models in various
Externí odkaz:
http://arxiv.org/abs/2407.21139
The Internet of Things (IoT) has been introduced as a breakthrough technology that integrates intelligence into everyday objects, enabling high levels of connectivity between them. As the IoT networks grow and expand, they become more susceptible to
Externí odkaz:
http://arxiv.org/abs/2406.02636
The growing interest in satellite imagery has triggered the need for efficient mechanisms to extract valuable information from these vast data sources, providing deeper insights. Even though deep learning has shown significant progress in satellite i
Externí odkaz:
http://arxiv.org/abs/2406.00348
Autor:
O. kasser, A. koubaa, M. charfi, Y. fakhfakh, F. kallel, I. frikha, I. ben amor, L. khalifa, M. medhaffer, S. hdiji, M. elloumi
Publikováno v:
HemaSphere, Vol 6, Pp 1699-1700 (2022)
Externí odkaz:
https://doaj.org/article/5b501b8d05554e6b8bc575226d9a96d9
Addressing uncertainty in Deep Learning (DL) is essential, as it enables the development of models that can make reliable predictions and informed decisions in complex, real-world environments where data may be incomplete or ambiguous. This paper int
Externí odkaz:
http://arxiv.org/abs/2405.20230