Zobrazeno 1 - 10
of 89 413
pro vyhledávání: '"Yousef, A"'
Autor:
Ahmed, Fatimaelzahraa Ali, Yousef, Mahmoud, Ahmed, Mariam Ali, Ali, Hasan Omar, Mahboob, Anns, Ali, Hazrat, Shah, Zubair, Aboumarzouk, Omar, Ansari, Abdulla Al, Balakrishnan, Shidin
Applying deep learning (DL) for annotating surgical instruments in robot-assisted minimally invasive surgeries (MIS) represents a significant advancement in surgical technology. This systematic review examines 48 studies that and advanced DL methods
Externí odkaz:
http://arxiv.org/abs/2410.07269
This paper presents a novel framework that leverages the Kullback-Leibler divergence (KLD) to analyze and optimize performance trade-offs in integrated sensing and communication (ISAC) systems. We consider a multiple-input-multiple-output (MIMO) base
Externí odkaz:
http://arxiv.org/abs/2409.20245
Autor:
Shang, Guokan, Abdine, Hadi, Khoubrane, Yousef, Mohamed, Amr, Abbahaddou, Yassine, Ennadir, Sofiane, Momayiz, Imane, Ren, Xuguang, Moulines, Eric, Nakov, Preslav, Vazirgiannis, Michalis, Xing, Eric
We introduce Atlas-Chat, the first-ever collection of large language models specifically developed for dialectal Arabic. Focusing on Moroccan Arabic, also known as Darija, we construct our instruction dataset by consolidating existing Darija language
Externí odkaz:
http://arxiv.org/abs/2409.17912
This manuscript presents a practical method for incorporating trained Neural Networks (NNs) into the Finite Element (FE) framework using a user material (UMAT) subroutine. The work exemplifies crystal plasticity, a complex inelastic non-linear path-d
Externí odkaz:
http://arxiv.org/abs/2410.08214
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
Recent advances in generative models for medical imaging have shown promise in representing multiple modalities. However, the variability in modality availability across datasets limits the general applicability of the synthetic data they produce. To
Externí odkaz:
http://arxiv.org/abs/2409.13532
Autor:
Bisabr, Yousef
We introduce a theoretical model to alleviate the Hubble tension based on dynamics of a minimally coupled scalar field interacting with both radiation and dark matter in the radiation-dominated era. The model we take up within the Einstein representa
Externí odkaz:
http://arxiv.org/abs/2409.08548
Autor:
Seghouane, Abd-Krim, Saad, Yousef
Given a set of $p$ symmetric (real) matrices, the Orthogonal Joint Diagonalization (OJD) problem consists of finding an orthonormal basis in which the representation of each of these $p$ matrices is as close as possible to a diagonal matrix. We argue
Externí odkaz:
http://arxiv.org/abs/2409.02005
Publikováno v:
2024 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN)
Accurate floor localization in a multi-story environment is an important but challenging task. Among the current floor localization techniques, fingerprinting is the mainstream technology due to its accuracy in noisy environments. To achieve accurate
Externí odkaz:
http://arxiv.org/abs/2409.00792
Rapid advances in Machine Learning (ML) have triggered new trends in Autonomous Vehicles (AVs). ML algorithms play a crucial role in interpreting sensor data, predicting potential hazards, and optimizing navigation strategies. However, achieving full
Externí odkaz:
http://arxiv.org/abs/2408.12548