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pro vyhledávání: '"Faour Ghaleb"'
Parameter Efficient Fine Tuning (PEFT) techniques have recently experienced significant growth and have been extensively employed to adapt large vision and language models to various domains, enabling satisfactory model performance with minimal compu
Externí odkaz:
http://arxiv.org/abs/2310.01825
Autor:
Najem, Sara, Monni, Stefano, Hatoum, Rola, Sweidan, Hawraa, Faour, Ghaleb, Abdallah, Chadi, Ghosn, Nada, Hassan, Hamad, Touma, Jihad
In this paper, we propose a general framework for optimal control measures, which follows the evolution of COVID-19 infection counts collected by Surveillance Units on a country level. We employ an autoregressive model that allows to decompose the me
Externí odkaz:
http://arxiv.org/abs/2204.11576
Autor:
Nasrallah, Hasan, Samhat, Abed Ellatif, Shi, Yilei, Zhu, Xiaoxiang, Faour, Ghaleb, Ghandour, Ali J.
Estimating solar rooftop potential at a national level is a fundamental building block for every country to utilize solar power efficiently. Solar rooftop potential assessment relies on several features such as building geometry, location, and surrou
Externí odkaz:
http://arxiv.org/abs/2111.11397
Publikováno v:
In Journal of Hydrology August 2024 640
In this paper, we focus on a critical component of the city: its building stock, which holds much of its socio-economic activities. In our case, the lack of a comprehensive database about their features and its limitation to a surveyed subset lead us
Externí odkaz:
http://arxiv.org/abs/2002.08355
Akademický článek
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Autor:
Issa, Hamza, Stienne, Georges, Reboul, Serge, Semmling, Maximilian, Raad, Mohamad, Faour, Ghaleb, Wickert, Jens
Publikováno v:
In Signal Processing June 2021 183
Publikováno v:
In Remote Sensing Applications: Society and Environment November 2020 20
Autor:
Mhawej, Mario, Faour, Ghaleb
Publikováno v:
In Environmental Modelling and Software November 2020 133
Publikováno v:
In Ecological Informatics March 2019 50:197-206