Zobrazeno 1 - 10
of 1 223
pro vyhledávání: '"Gherbi, A."'
Autor:
Schott, Lucas, Delas, Josephine, Hajri, Hatem, Gherbi, Elies, Yaich, Reda, Boulahia-Cuppens, Nora, Cuppens, Frederic, Lamprier, Sylvain
Deep Reinforcement Learning (DRL) is an approach for training autonomous agents across various complex environments. Despite its significant performance in well known environments, it remains susceptible to minor conditions variations, raising concer
Externí odkaz:
http://arxiv.org/abs/2403.00420
Autor:
Joanna Toporowska, Parth Kapoor, Maria Musgaard, Karolina Gherbi, Kathy Sengmany, Feng Qu, Mark Soave, Hsin-Yung Yen, Kjetil Hansen, Ali Jazayeri, Jonathan T. S. Hopper, Argyris Politis
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract G Protein Coupled Receptors (GPCRs) constitute the largest family of signalling proteins responsible for translating extracellular stimuli into intracellular functions. They play crucial roles in numerous physiological processes and are majo
Externí odkaz:
https://doaj.org/article/888702c45a2847fb87032245b452250b
Autor:
Gonzalez, Martin, Fernandez, Nelson, Tran, Thuy, Gherbi, Elies, Hajri, Hatem, Masmoudi, Nader
A potent class of generative models known as Diffusion Probabilistic Models (DPMs) has become prominent. A forward diffusion process adds gradually noise to data, while a model learns to gradually denoise. Sampling from pre-trained DPMs is obtained b
Externí odkaz:
http://arxiv.org/abs/2305.14267
Autor:
Faycal Chiad, Abdelhalim Gherbi
Publikováno v:
Investment Management & Financial Innovations, Vol 21, Iss 3, Pp 357-369 (2024)
The aim of this study is to provide a suitable empirical framework for the interaction between Islamic finance, financial stability, and economic development. Additionally, it is an attempt to empirically evaluate how the levels of financial system s
Externí odkaz:
https://doaj.org/article/234d81c7a77d4443ad9f1b74dcefad69
Autor:
Manale Harfouche, Wafaa Sekkal Gherbi, Asalah Alareeki, Ahmed S. Alaama, Joumana G. Hermez, Alex Smolak, Laith J. Abu-Raddad
Publikováno v:
EBioMedicine, Vol 106, Iss , Pp 105250- (2024)
Summary: Background: Trichomoniasis, caused by the parasite Trichomonas vaginalis (TV), remains an underappreciated sexually transmitted infection (STI), primarily due to inadequate understanding of its epidemiology and public health implications. Th
Externí odkaz:
https://doaj.org/article/a7b3232902fb46499b8e276cc9400d05
Autor:
Saadouni, Rafika, Gherbi, Chirihane, Aliouat, Zibouda, Harbi, Yasmine, Khacha, Amina, Mabed, Hakim
Publikováno v:
In Internet of Things January 2025 29
With the emergence of network softwarization trend, traditional networking services offered by Internet providers are expected to evolve by fully leveraging new recent technologies like network function virtualization and software defined networking.
Externí odkaz:
http://arxiv.org/abs/2203.01098
Autor:
Harfouche, Manale, Gherbi, Wafaa Sekkal, Alareeki, Asalah, Alaama, Ahmed S., Hermez, Joumana G., Smolak, Alex, Abu-Raddad, Laith J.
Publikováno v:
In eBioMedicine August 2024 106
Autor:
Salim, Gherbi1 Gherbi-salim@univ-eloued.dz
Publikováno v:
Journal of Advanced Economic Research. 2024, Vol. 9 Issue 2, p72-85. 14p.
Publikováno v:
Sensors, Vol 24, Iss 16, p 5150 (2024)
Machine learning (ML) represents one of the main pillars of the current digital era, specifically in modern real-world applications. The Internet of Things (IoT) technology is foundational in developing advanced intelligent systems. The convergence o
Externí odkaz:
https://doaj.org/article/1cf2a73bbe064c13b67be1071b60c5a5