Zobrazeno 1 - 10
of 4 164
pro vyhledávání: '"Beji, A."'
Understanding the causal impact of medical interventions is essential in healthcare research, especially through randomized controlled trials (RCTs). Despite their prominence, challenges arise due to discrepancies between treatment allocation and act
Externí odkaz:
http://arxiv.org/abs/2405.02779
The recent development of deep learning methods applied to vision has enabled their increasing integration into real-world applications to perform complex Computer Vision (CV) tasks. However, image acquisition conditions have a major impact on the pe
Externí odkaz:
http://arxiv.org/abs/2311.06976
Publikováno v:
Journal of Nursology, Vol 27, Iss 3, Pp 202-213 (2024)
Objective: This study aimed to determine nursing students' perceptions of the clinical learning environment, supervision and nurse teacher, and its affecting factors. Methods: This cross-sectional and descriptive study was conducted with 205 students
Externí odkaz:
https://doaj.org/article/4a2e414c0ad54159a97ecb2d52b17c7b
Autor:
Bidzhiev, Kemal, Wennersteen, Aleksander, Beji, Mourad, Dagrada, Mario, D'Arcangelo, Mauro, Grijalva, Sebastian, Henaff, Anne-Claire Le, Quelle, Anton, Naik, Alvin Sashala
We introduce a tensor network based emulator, simulating a programmable analog quantum processing unit (QPU). The software package is fully integrated in a cloud platform providing a common interface for executing jobs on a HPC cluster as well as dis
Externí odkaz:
http://arxiv.org/abs/2302.05253
The robustness of object detection algorithms plays a prominent role in real-world applications, especially in uncontrolled environments due to distortions during image acquisition. It has been proven that the performance of object detection methods
Externí odkaz:
http://arxiv.org/abs/2210.15999
Considering the scene's dynamics is the most effective solution to obtain an accurate perception of unknown environments for real vSLAM applications. Most existing methods attempt to address the non-rigid scene assumption by combining geometric and s
Externí odkaz:
http://arxiv.org/abs/2210.08647
Autor:
Motaghian, Shahrooz, Beji, Tarek
Publikováno v:
In Fire Safety Journal December 2024 150 Part B
Autor:
Ben Slimene, Ahmed, Trifa, Mehdi, Blaiti, Hajer, Aouadi, Salma, Beji, Adel, Ben Hafsa, Mohamed Amine, Cox, Joshua D
Publikováno v:
In Perioperative Care and Operating Room Management December 2024 37
Autor:
Motaghian, Shahrooz, Beji, Tarek
Publikováno v:
In Combustion and Flame November 2024 269
Autor:
Bouden, Selma, Beji, Hadwa, Rouached, Leila, Ben Tekaya, Aicha, Mahmoud, Ines, Tekaya, Rawdha, Saidane, Olfa, Abdelmoula, Leila
Publikováno v:
In The Egyptian Rheumatologist October 2024 46(4):194-197