Zobrazeno 1 - 10
of 7 125
pro vyhledávání: '"Bouallegue A"'
Autor:
Lang, Simon, Alexe, Mihai, Chantry, Matthew, Dramsch, Jesper, Pinault, Florian, Raoult, Baudouin, Clare, Mariana C. A., Lessig, Christian, Maier-Gerber, Michael, Magnusson, Linus, Bouallègue, Zied Ben, Nemesio, Ana Prieto, Dueben, Peter D., Brown, Andrew, Pappenberger, Florian, Rabier, Florence
Machine learning-based weather forecasting models have quickly emerged as a promising methodology for accurate medium-range global weather forecasting. Here, we introduce the Artificial Intelligence Forecasting System (AIFS), a data driven forecast m
Externí odkaz:
http://arxiv.org/abs/2406.01465
Artificial intelligence (AI), based on deep-learning algorithm using high-quality reanalysis datasets, is showing enormous potential for weather forecasting. In this context, the European Centre for Medium-Range Weather Forecasts (ECMWF) is developin
Externí odkaz:
http://arxiv.org/abs/2405.02679
Autor:
Ben-Bouallegue, Zied
A new index for high-impact weather forecasting is introduced and assessed in comparison with the well-established extreme forecast index (EFI). Two other ensemble summary statistics are also included in this comparison study: the shift-of-tail and a
Externí odkaz:
http://arxiv.org/abs/2312.01673
Autor:
Ouahidi, Yassine El, Gripon, Vincent, Pasdeloup, Bastien, Bouallegue, Ghaith, Farrugia, Nicolas, Lioi, Giulia
We propose EEG-SimpleConv, a straightforward 1D convolutional neural network for Motor Imagery decoding in BCI. Our main motivation is to propose a simple and performing baseline to compare to, using only very standard ingredients from the literature
Externí odkaz:
http://arxiv.org/abs/2309.07159
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract One of the critical issues in medical data analysis is accurately predicting a patient’s risk of heart disease, which is vital for early intervention and reducing mortality rates. Early detection allows for timely treatment and continuous
Externí odkaz:
https://doaj.org/article/96c96575899c4fb1997490031b577df1
Autor:
El-Sofany, Hosam1 (AUTHOR) helsofany@kku.edu.sa, Bouallegue, Belgacem1,2 (AUTHOR), El-Latif, Yasser M. Abd3 (AUTHOR)
Publikováno v:
Scientific Reports. 10/7/2024, Vol. 14 Issue 1, p1-18. 18p.
Autor:
Rasp, Stephan, Hoyer, Stephan, Merose, Alexander, Langmore, Ian, Battaglia, Peter, Russel, Tyler, Sanchez-Gonzalez, Alvaro, Yang, Vivian, Carver, Rob, Agrawal, Shreya, Chantry, Matthew, Bouallegue, Zied Ben, Dueben, Peter, Bromberg, Carla, Sisk, Jared, Barrington, Luke, Bell, Aaron, Sha, Fei
WeatherBench 2 is an update to the global, medium-range (1-14 day) weather forecasting benchmark proposed by Rasp et al. (2020), designed with the aim to accelerate progress in data-driven weather modeling. WeatherBench 2 consists of an open-source e
Externí odkaz:
http://arxiv.org/abs/2308.15560
Autor:
Ben-Bouallegue, Zied, Clare, Mariana C A, Magnusson, Linus, Gascon, Estibaliz, Maier-Gerber, Michael, Janousek, Martin, Rodwell, Mark, Pinault, Florian, Dramsch, Jesper S, Lang, Simon T K, Raoult, Baudouin, Rabier, Florence, Chevallier, Matthieu, Sandu, Irina, Dueben, Peter, Chantry, Matthew, Pappenberger, Florian
Data-driven modeling based on machine learning (ML) is showing enormous potential for weather forecasting. Rapid progress has been made with impressive results for some applications. The uptake of ML methods could be a game-changer for the incrementa
Externí odkaz:
http://arxiv.org/abs/2307.10128
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 9, Iss , Pp 100741- (2024)
Vehicle-to-vehicle (V2V) communication is a promising solution for enhancing network performance. This paper presents the modeling and performance analysis of moving V2V fifth generation new radio (5G NR) systems using Poisson point process (PPP) and
Externí odkaz:
https://doaj.org/article/63c9dec9a2894bcda1d061ba3cedbbf6