Zobrazeno 1 - 10
of 56 635
pro vyhledávání: '"P. Didier"'
We introduce a variant of the D-optimal design of experiments problem with a more general information matrix that takes into account the representation of the design space S. The main motivation is that if S $\subset$ R d is the unit ball, the unit b
Externí odkaz:
http://arxiv.org/abs/2409.04058
While electric power grids play a key role in the decarbonization of society, it remains unclear how recent trends, such as the strong integration of renewable energies, can affect their stability. Power oscillation modes, which are key to the stabil
Externí odkaz:
http://arxiv.org/abs/2408.14921
Recent studies showcase the competitive accuracy of Vision Transformers (ViTs) in relation to Convolutional Neural Networks (CNNs), along with their remarkable robustness. However, ViTs demand a large amount of data to achieve adequate performance, w
Externí odkaz:
http://arxiv.org/abs/2408.14131
Animating human face images aims to synthesize a desired source identity in a natural-looking way mimicking a driving video's facial movements. In this context, Generative Adversarial Networks have demonstrated remarkable potential in real-time face
Externí odkaz:
http://arxiv.org/abs/2408.13049
Autor:
Quérel, Arnaud, Quélo, Denis, Roustan, Yelva, Mathieu, Anne, Kajino, Mizuo, Sekiyama, Thomas, Adachi, Kouji, Didier, Damien, Igarashi, Yasuhito, Maki, Takashi
Publikováno v:
HARMO 2016 - 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, L{\'a}szl{\'o} Boz{\'o}, Zita Ferenci, May 2016, Budapest, Hungary. pp.598-602
The Fukushima-Daiichi release of radioactivity is a relevant event to study the atmospheric dispersion modelling of radionuclides. Actually, the atmospheric deposition onto the ground may be studied through the map of measured Cs-137 established cons
Externí odkaz:
http://arxiv.org/abs/2408.11460
In this paper, we present a novel approach to interference detection in 5G New Radio (5G-NR) networks using Convolutional Neural Networks (CNN). Interference in 5G networks challenges high-quality service due to dense user equipment deployment and in
Externí odkaz:
http://arxiv.org/abs/2408.11659
A systematic quantitative investigation into whether the mechanisms of large earthquakes are unique could significantly deepen our understanding of fault rupture and seismicity patterns. This research holds the potential to advance our ability to pre
Externí odkaz:
http://arxiv.org/abs/2408.10857
Emotions are essential for guiding human behavior, particularly in social interactions. In modern societies, a growing share of human interactions are taking place online which has been shown to amplify and distort the expression and perception of em
Externí odkaz:
http://arxiv.org/abs/2408.05700
A one-shot algorithm called iterationless DANSE (iDANSE) is introduced to perform distributed adaptive node-specific signal estimation (DANSE) in a fully connected wireless acoustic sensor network (WASN) deployed in an environment with non-overlappin
Externí odkaz:
http://arxiv.org/abs/2408.03752
Autor:
Tshimula, Jean Marie, Kalengayi, Mitterrand, Makenga, Dieumerci, Lilonge, Dorcas, Asumani, Marius, Madiya, Déborah, Kalonji, Élie Nkuba, Kanda, Hugues, Galekwa, René Manassé, Kumbu, Josias, Mikese, Hardy, Tshimula, Grace, Muabila, Jean Tshibangu, Mayemba, Christian N., Nkashama, D'Jeff K., Kalala, Kalonji, Ataky, Steve, Basele, Tighana Wenge, Didier, Mbuyi Mukendi, Kasereka, Selain K., Dialufuma, Maximilien V., Kumwita, Godwill Ilunga Wa, Muyuku, Lionel, Kimpesa, Jean-Paul, Muteba, Dominique, Abedi, Aaron Aruna, Ntobo, Lambert Mukendi, Bundutidi, Gloria M., Mashinda, Désiré Kulimba, Mpinga, Emmanuel Kabengele, Kasoro, Nathanaël M.
Artificial Intelligence (AI) is revolutionizing various fields, including public health surveillance. In Africa, where health systems frequently encounter challenges such as limited resources, inadequate infrastructure, failed health information syst
Externí odkaz:
http://arxiv.org/abs/2408.02575