Zobrazeno 1 - 10
of 212 523
pro vyhledávání: '"Saad, A"'
Publikováno v:
The Iraqi Journal of Veterinary Medicine, Vol 12, Iss 1 (2024)
A study wes conducted on the effect of two rearing systems (Cages and floor) and the environmental temperature on the egg production and mortality percent , of the laying hens. A total of 6000 Hisex Brown laying hens, 22 weeks old, were randomly divi
Externí odkaz:
https://doaj.org/article/57ea16d1a1d94265b497bce2143f2906
Autor:
Ghienne, Jean-François, Moussa, Abderamane, Saad, Abakar, Djatibeye, Barnabé, Youssouf, Hissein Mahamat
Publikováno v:
Comptes Rendus. Géoscience, Vol 355, Iss G1, Pp 63-84 (2023)
In the Ennedi Plateau, northeastern Chad, Cambrian(?)–Ordovician to Carboniferous strata represent one of the most proximal succession of the north-facing Gondwana platform. This study presents preliminary results related to the c. 200 m-thick Lowe
Externí odkaz:
https://doaj.org/article/c0343a9584ec4295a609b539c10e960d
Autor:
Saad, Ahmed Mohamed
Asphaltenic crude oil is a complex fluid containing various components with different chemical properties. When it comes in contact with water, its polar components adsorb at the oil/water interface, reducing the interfacial tension and eventually de
Externí odkaz:
http://hdl.handle.net/10754/685835
In this paper, a novel generative adversarial imitation learning (GAIL)-powered policy learning approach is proposed for optimizing beamforming, spectrum allocation, and remote user equipment (RUE) association in NTNs. Traditional reinforcement learn
Externí odkaz:
http://arxiv.org/abs/2409.18718
Semantic communications (SC) is an emerging communication paradigm in which wireless devices can send only relevant information from a source of data while relying on computing resources to regenerate missing data points. However, the design of a mul
Externí odkaz:
http://arxiv.org/abs/2409.17985
Autor:
Zoellin, Jay, Merk, Colin, Buob, Mischa, Saad, Amr, Giesser, Samuel, Spitznagel, Tahm, Turgut, Ferhat, Santos, Rui, Zhou, Yukun, Wagner, Sigfried, Keane, Pearse A., Tham, Yih Chung, DeBuc, Delia Cabrera, Becker, Matthias D., Somfai, Gabor M.
Integrating deep learning into medical imaging is poised to greatly advance diagnostic methods but it faces challenges with generalizability. Foundation models, based on self-supervised learning, address these issues and improve data efficiency. Natu
Externí odkaz:
http://arxiv.org/abs/2409.17332
In this paper, we investigate the impact of denial-of-service attacks on the status updating of a cyber-physical system with one or more sensors connected to a remote monitor via unreliable channels. We approach the problem from the perspective of an
Externí odkaz:
http://arxiv.org/abs/2409.16794
We exhibit an exclusive process, namely the photoproduction of a $\pi^{0}\gamma$ pair with large invariant mass, which violates collinear factorization. We explicitly demonstrate that this is due to the fact that there exists diagrams with gluon exch
Externí odkaz:
http://arxiv.org/abs/2409.16067
Autor:
Saad-Falcon, Jon, Lafuente, Adrian Gamarra, Natarajan, Shlok, Maru, Nahum, Todorov, Hristo, Guha, Etash, Buchanan, E. Kelly, Chen, Mayee, Guha, Neel, Ré, Christopher, Mirhoseini, Azalia
Inference-time techniques are emerging as highly effective tools to increase large language model (LLM) capabilities. However, there is still limited understanding of the best practices for developing systems that combine inference-time techniques wi
Externí odkaz:
http://arxiv.org/abs/2409.15254
This paper describes the software package Cucheb, a GPU implementation of the filtered Lanczos procedure for the solution of large sparse symmetric eigenvalue problems. The filtered Lanczos procedure uses a carefully chosen polynomial spectral transf
Externí odkaz:
http://arxiv.org/abs/2409.15053