Zobrazeno 1 - 10
of 63 729
pro vyhledávání: '"Amira, A."'
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
This review article discusses the roles of federated learning (FL) and transfer learning (TL) in cancer detection based on image analysis. These two strategies powered by machine learning have drawn a lot of attention due to their potential to increa
Externí odkaz:
http://arxiv.org/abs/2405.20126
Autor:
Ouamane, Abdelmalik, Chouchane, Ammar, Himeur, Yassine, Debilou, Abderrazak, Amira, Abbes, Atalla, Shadi, Mansoor, Wathiq, Ahmad, Hussain Al
Machine learning has revolutionized the field of agricultural science, particularly in the early detection and management of plant diseases, which are crucial for maintaining crop health and productivity. Leveraging advanced algorithms and imaging te
Externí odkaz:
http://arxiv.org/abs/2405.20058
Adversarial attacks pose a significant challenge to deploying deep learning models in safety-critical applications. Maintaining model robustness while ensuring interpretability is vital for fostering trust and comprehension in these models. This stud
Externí odkaz:
http://arxiv.org/abs/2405.06278