Zobrazeno 1 - 10
of 1 200
pro vyhledávání: '"A. Gherbi"'
Autor:
S. Semaoui, K. Abdeladim, B. Taghezouit, A. Hadj Arab, A. Razagui, S. Bacha, S. Boulahchiche, S. Bouacha, A. Gherbi
Publikováno v:
Energy Reports, Vol 6, Iss , Pp 302-308 (2020)
Algeria has large territory which is around 2,382 million km with an average solar power of 2650 kWh/m2/year on more than 80 % of the total surface of country. Back in 2015, the Algerian government has adopted a program for electricity production wit
Externí odkaz:
https://doaj.org/article/33ae8c631370416fae895cce128cf790
Autor:
A. Hadj Arab, B. Taghezouit, K. Abdeladim, S. Semaoui, A. Razagui, A. Gherbi, S. Boulahchiche, I. Hadj Mahammed
Publikováno v:
Energy Reports, Vol 6, Iss , Pp 680-686 (2020)
The aim of this work is to present the results of maximum power performance measurements of PV modules of the first grid-connected PV system installed at Centre de Développement des Energies Renouvelables (CDER), working since June 2004. The analysi
Externí odkaz:
https://doaj.org/article/c65a8d132e4d4bb5a093104ee9826746
Autor:
A. Hadj Arab, B. Taghezouit, S. Semaoui, S. Boulahchiche, K. Abdeladim, A. Razagui, A. Gherbi, F. Tobbal
Publikováno v:
Revue des Énergies Renouvelables, Vol 22, Iss 1, Pp 123-134 (2019)
Ce travail a pour objectif d’analyser les performances des onduleurs photovoltaïques (PV) connectés au réseau électrique pendant le fonctionnement du système PV. L’étude a été réalisée pour les trois onduleurs de l’installation photov
Externí odkaz:
https://doaj.org/article/c26a7371f30b4e318d865b48365a1b3b
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:
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:
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:
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
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
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