Zobrazeno 1 - 10
of 838
pro vyhledávání: '"A. Bourahla"'
Autor:
Hakim BOURAHLA & Naima ZIDAN
Publikováno v:
Ziglôbitha, Vol 03, Iss 011, Pp 385-400 (2024)
Abstract :The cessation of Internet services for only a few hours creates clear confusion, and members of society become living in a state of “social alienation.” This indicates the depth of the psychological and social integration of individuals
Externí odkaz:
https://doaj.org/article/0e4645f6f05f4b30a7c66a27852126b6
Publikováno v:
In Computers and Geotechnics November 2024 175
Autor:
Zhang, Peng, Du, Chengbin, Zhao, Wenhu, Jiang, Shouyan, Gong, Nina, Bourahla, Nouredine, Qi, Zhiyong
Publikováno v:
In Engineering Fracture Mechanics 20 December 2024 312
Publikováno v:
In Journal of Building Engineering 1 October 2023 76
Publikováno v:
In Materials Today Communications March 2024 38
Autor:
Kouider Amar, Mohamed, Rahal, Soufiane, Laidi, Maamar, Kouar, Ibtihal, Bourahla, Rym Farah El-Khansaa, Akouche, Youcef, Bouaraba, Razki
Publikováno v:
In European Journal of Pharmaceutics and Biopharmaceutics February 2024 195
Publikováno v:
In Procedia Computer Science 2024 239:1053-1061
As an important and challenging problem, multi-domain learning (MDL) typically seeks for a set of effective lightweight domain-specific adapter modules plugged into a common domain-agnostic network. Usually, existing ways of adapter plugging and stru
Externí odkaz:
http://arxiv.org/abs/2007.12415
In this paper, we propose a novel learning scheme called epoch-evolving Gaussian Process Guided Learning (GPGL), which aims at characterizing the correlation information between the batch-level distribution and the global data distribution. Such corr
Externí odkaz:
http://arxiv.org/abs/2006.14347
The Generative Models have gained considerable attention in the field of unsupervised learning via a new and practical framework called Generative Adversarial Networks (GAN) due to its outstanding data generation capability. Many models of GAN have p
Externí odkaz:
http://arxiv.org/abs/2006.05132