Zobrazeno 1 - 10
of 5 902
pro vyhledávání: '"A. Porté"'
In recent years, the hardware implementation of neural networks, leveraging physical coupling and analog neurons has substantially increased in relevance. Such nonlinear and complex physical networks provide significant advantages in speed and energy
Externí odkaz:
http://arxiv.org/abs/2411.19209
Autor:
Liao, Wenlong, Yang, Zhe, Jia, Mengshuo, Rehtanz, Christian, Fang, Jiannong, Porté-Agel, Fernando
Deep learning models have shown strong performance in load forecasting, but they generally require large amounts of data for model training before being applied to new scenarios, which limits their effectiveness in data-scarce scenarios. Inspired by
Externí odkaz:
http://arxiv.org/abs/2411.11350
Autor:
Chaki, Sayan Kumar, Baltaci, Zeynep Sonat, Vincent, Elliot, Emonet, Remi, Vial-Bonacci, Fabienne, Bahier-Porte, Christelle, Aubry, Mathieu, Fournel, Thierry
This paper aims to develop the study of historical printed ornaments with modern unsupervised computer vision. We highlight three complex tasks that are of critical interest to book historians: clustering, element discovery, and unsupervised change l
Externí odkaz:
http://arxiv.org/abs/2408.08633
Autor:
Biwole, A. Tema, Porte, L., Fasoli, A., Figini, L., Decker, J., Hoppe, M., Cazabonne, J., Votta, L., Simonetto, A., Coda, S., Team, TCV
This paper describes the first Vertical Electron Cyclotron Emission (V-ECE) measurement of non-thermal electron distributions in the \textit{Tokamak \`a Configuration Variable}, TCV. These measurements were conducted in runaway electron scenarios and
Externí odkaz:
http://arxiv.org/abs/2407.18780
Publikováno v:
A&A 689, A25 (2024)
Aims: Ultraviolet (UV) lines of neutral carbon observed in absorption in the local diffuse interstellar medium (ISM) have long revealed that a substantial fraction of the mass of the gas lies at a thermal pressure one to three orders of magnitude abo
Externí odkaz:
http://arxiv.org/abs/2406.19719
Autor:
Decker, J., Hoppe, M., Sheikh, U., Duval, B. P., Papp, G., Simons, L., Wijkamp, T., Cazabonne, J., Coda, S., Devlaminck, E., Ficker, O., Hellinga, R., Kumar, U., Savoye-Peysson, Y., Porte, L., Reux, C., Sommariva, C., Biwolé, A. Tema, Vincent, B., Votta, L., Team, the TCV, Team, the EUROfusion Tokamak Exploitation
Runaway electrons (REs) are a concern for tokamak fusion reactors from discharge startup to termination. A sudden localized loss of a multi-megaampere RE beam can inflict severe damage to the first wall. Should a disruption occur, the existence of a
Externí odkaz:
http://arxiv.org/abs/2404.09900
Autor:
Liao, Wenlong, Porte-Agel, Fernando, Fang, Jiannong, Rehtanz, Christian, Wang, Shouxiang, Yang, Dechang, Yang, Zhe
Machine learning models have made significant progress in load forecasting, but their forecast accuracy is limited in cases where historical load data is scarce. Inspired by the outstanding performance of large language models (LLMs) in computer visi
Externí odkaz:
http://arxiv.org/abs/2404.04885
Autor:
Liao, Wenlong, Porte-Agel, Fernando, Fang, Jiannong, Bak-Jensen, Birgitte, Yang, Zhe, Zhang, Gonghao
Deep neural networks (DNNs) are receiving increasing attention in wind power forecasting due to their ability to effectively capture complex patterns in wind data. However, their forecasted errors are severely limited by the local optimal weight issu
Externí odkaz:
http://arxiv.org/abs/2312.15741
Autor:
Liao, Wenlong, Porte-Agel, Fernando, Fang, Jiannong, Bak-Jensen, Birgitte, Ruan, Guangchun, Yang, Zhe
Machine learning models (e.g., neural networks) achieve high accuracy in wind power forecasting, but they are usually regarded as black boxes that lack interpretability. To address this issue, the paper proposes a glass-box approach that combines hig
Externí odkaz:
http://arxiv.org/abs/2310.18629
Autor:
Février, O., Tsui, C. K., Durr-Legoupil-Nicoud, G., Theiler, C., Carpita, M., Coda, S., Colandrea, C., Duval, B. P., Gorno, S., Huett, E., Linehan, B., Perek, A., Porte, L., Reimerdes, H., Sauter, O., Tonello, E., Zurita, M., Bolzonella, T., Sciortino, F., Team, the TCV, Team, the EUROfusion Tokamak Exploitation
In recent years, negative triangularity (NT) has emerged as a potential high-confinement L-mode reactor solution. In this work, detachment is investigated using core density ramps in lower single null Ohmic L-mode plasmas across a wide range of upper
Externí odkaz:
http://arxiv.org/abs/2310.11737