Zobrazeno 1 - 10
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pro vyhledávání: '"Amira, A"'
We present a neural network-enhanced column generation (CG) approach for a parallel machine scheduling problem. The proposed approach utilizes an encoder-decoder attention model, namely the transformer and pointer architectures, to develop job sequen
Externí odkaz:
http://arxiv.org/abs/2410.15601
Autor:
Benameur, Narjes, Mahmoudi, Ramzi, Deriche, Mohamed, fayouka, Amira, Masmoudi, Imene, Zoghlami, Nessrine
Left ventricular ejection fraction (LVEF) is the most important clinical parameter of cardiovascular function. The accuracy in estimating this parameter is highly dependent upon the precise segmentation of the left ventricle (LV) structure at the end
Externí odkaz:
http://arxiv.org/abs/2410.06818
Autor:
Guesmi, Amira, Shafique, Muhammad
Autonomous vehicles (AVs) rely heavily on LiDAR (Light Detection and Ranging) systems for accurate perception and navigation, providing high-resolution 3D environmental data that is crucial for object detection and classification. However, LiDAR syst
Externí odkaz:
http://arxiv.org/abs/2409.20426
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
The paper studies a large-scale order fulfillment problem for a leading e-commerce company in the United States. The challenge involves selecting fulfillment centers and shipping carriers with observational data only to efficiently process orders fro
Externí odkaz:
http://arxiv.org/abs/2409.06918
Autor:
Ottapilakkal, Vishnu, Juyal, Abhishek, Sundaram, Suresh, Vuong, Phuong, Beck, Collin, Dudeck, Noel L., Bencherif, Amira, Loiseau, Annick, Fossard, Frédéric, Mérot, Jean-Sebastien, Chapron, David, Kauffmann, Thomas H., Salvestrini, Jean-Paul, Voss, Paul L., de Heer, Walt A., Berger, Claire, Ougazzaden, Abdallah
Hexagonal boron nitride encapsulation is the method of choice for protecting graphene from environmental doping and impurity scattering. It was previously demonstrated that metal-organic vapor phase epitaxy (MOVPE) grows epitaxially ordered, uniform
Externí odkaz:
http://arxiv.org/abs/2409.04709
This paper presents a novel approach to pricing American options using piecewise diffusion Markov processes (PDifMPs), a type of generalised stochastic hybrid system that integrates continuous dynamics with discrete jump processes. Standard models of
Externí odkaz:
http://arxiv.org/abs/2409.07477
Autor:
Sohail, Shahab Saquib, Himeur, Yassine, Kheddar, Hamza, Amira, Abbes, Fadli, Fodil, Atalla, Shadi, Copiaco, Abigail, Mansoor, Wathiq
The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of deep learning (DL). However, the latter faces various issues, including the lack of data or annotated data, the existence of a significant gap between training data
Externí odkaz:
http://arxiv.org/abs/2407.17877
Autor:
Yeni, Oznur, Gharbi, Amira, Chambert, Stéphane, Rouillon, Jean, Allouche, Abdul-Rahman, Schindler, Baptiste, Compagnon, Isabelle
Publikováno v:
Physical Chemistry Chemical Physics, 2022, 24 (2), pp.1016-1022
O-acetylations are functional modifications which can be found on different hydroxyl groups of glycans and which contribute to the fine tuning of their biological activity. Localizing the acetyl modifications is notoriously challenging in glycoanalys
Externí odkaz:
http://arxiv.org/abs/2406.14937
Diffusion models have emerged as powerful tools for molecular generation, particularly in the context of 3D molecular structures. Inspired by non-equilibrium statistical physics, these models can generate 3D molecular structures with specific propert
Externí odkaz:
http://arxiv.org/abs/2406.08511