Zobrazeno 1 - 10
of 33 087
pro vyhledávání: '"Fares, A."'
We study the strong consistency and asymptotic normality of a least squares estimator of the drift coefficient in complex-valued Ornstein-Uhlenbeck processes driven by fractional Brownian motion, extending the results of Chen, Hu, Wang (2017) to the
Externí odkaz:
http://arxiv.org/abs/2406.18004
Autor:
Guerri, Mohamed Fadhlallah, Distante, Cosimo, Spagnolo, Paolo, Bougourzi, Fares, Taleb-Ahmed, Abdelmalik
During the process of classifying Hyperspectral Image (HSI), every pixel sample is categorized under a land-cover type. CNN-based techniques for HSI classification have notably advanced the field by their adept feature representation capabilities. Ho
Externí odkaz:
http://arxiv.org/abs/2406.14120
Autor:
Fares, Samar, Ziu, Klea, Aremu, Toluwani, Durasov, Nikita, Takáč, Martin, Fua, Pascal, Nandakumar, Karthik, Laptev, Ivan
Vision-Language Models (VLMs) are becoming increasingly vulnerable to adversarial attacks as various novel attack strategies are being proposed against these models. While existing defenses excel in unimodal contexts, they currently fall short in saf
Externí odkaz:
http://arxiv.org/abs/2406.09250
Modern wireless networks must reliably support a wide array of connectivity demands, encompassing various user needs across diverse scenarios. Machine-Type Communication (mMTC) is pivotal in these networks, particularly given the challenges posed by
Externí odkaz:
http://arxiv.org/abs/2406.07160
Federated learning (FL) has emerged as a pivotal approach in machine learning, enabling multiple participants to collaboratively train a global model without sharing raw data. While FL finds applications in various domains such as healthcare and fina
Externí odkaz:
http://arxiv.org/abs/2406.00569
Autor:
Fares, Nicolas, Lavaud, Maxime, Zhang, Zaicheng, Jha, Aditya, Amarouchene, Yacine, Salez, Thomas
Confined motions in complex environments are ubiquitous in microbiology. These situations invariably involve the intricate coupling between fluid flow, soft boundaries, surface forces and fluctuations. In the present study, such a coupling is investi
Externí odkaz:
http://arxiv.org/abs/2405.13434
Autor:
Lucet, Eric, Kfoury, Farès
Publikováno v:
International Conference on Non-destructive Evaluation of Concrete in Nuclear Applications - NDE NucCon 2023 (NDE NucCon2023), Jan 2023, Helsinki, Finland
This paper presents the definition of a teleoperated robotic system for non-destructive corrosion inspection of Steel Cylinder Concrete Pipes (SCCP) from the inside. A general description of in-pipe environment and a state of the art of in-pipe navig
Externí odkaz:
http://arxiv.org/abs/2405.09925
In complex environments with large discrete action spaces, effective decision-making is critical in reinforcement learning (RL). Despite the widespread use of value-based RL approaches like Q-learning, they come with a computational burden, necessita
Externí odkaz:
http://arxiv.org/abs/2405.10310
This paper introduces a federated learning framework tailored for online combinatorial optimization with bandit feedback. In this setting, agents select subsets of arms, observe noisy rewards for these subsets without accessing individual arm informa
Externí odkaz:
http://arxiv.org/abs/2405.05950
Over the past two decades, machine analysis of medical imaging has advanced rapidly, opening up significant potential for several important medical applications. As complicated diseases increase and the number of cases rises, the role of machine-base
Externí odkaz:
http://arxiv.org/abs/2405.04169