Zobrazeno 1 - 10
of 672
pro vyhledávání: '"P. Ravier"'
Autor:
Nguyen, Van Hieu, Luu, Gia Thien, Van Luong, Thien, Trang, Mai Xuan, Ravier, Philippe, Buttelli, Olivier
This study introduces a novel muscle activation analysis based on surface electromyography (sEMG) signals to assess the muscle's after-fatigue condition. Previous studies have mainly focused on the before-fatigue and fatigue conditions. However, a co
Externí odkaz:
http://arxiv.org/abs/2309.04770
Autor:
Agathe Vrillon, Olivier Bousiges, Karl Götze, Catherine Demuynck, Candice Muller, Alix Ravier, Benoît Schorr, Nathalie Philippi, Claire Hourregue, Emmanuel Cognat, Julien Dumurgier, Matthieu Lilamand, Benjamin Cretin, Frédéric Blanc, Claire Paquet
Publikováno v:
Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-11 (2024)
Abstract Background Increasing evidence supports the use of plasma biomarkers of amyloid, tau, neurodegeneration, and neuroinflammation for diagnosis of dementia. However, their performance for positive and differential diagnosis of dementia with Lew
Externí odkaz:
https://doaj.org/article/238f9ff7a6ad4b788865819ae0efee6e
Autor:
Alice Tisserand, Frédéric Blanc, Mary Mondino, Candice Muller, Hélène Durand, Catherine Demuynck, Paulo Loureiro de Sousa, Alix Ravier, Léa Sanna, Anne Botzung, Nathalie Philippi
Publikováno v:
Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-10 (2024)
Abstract Background Dementia with Lewy bodies (DLB) is characterized by insular atrophy, which occurs at the early stage of the disease. Damage to the insula has been associated with disorders reflecting impairments of the most fundamental components
Externí odkaz:
https://doaj.org/article/9453919e5ee64975844fa840a14111a2
Autor:
J. M. González-Sánchez, M. Huix-Rotllant, N. Brun, J. Morin, C. Demelas, A. Durand, S. Ravier, J.-L. Clément, A. Monod
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 15135-15147 (2023)
Organic nitrates (RONO2) are secondary compounds whose fate is closely related to the transport and removal of NOx in the atmosphere. Despite their ubiquitous presence in submicron aerosols, the photochemistry of RONO2 has only been investigated in t
Externí odkaz:
https://doaj.org/article/033005679c614130bbb64720a43f1929
Publikováno v:
Sensors, Vol 24, Iss 16, p 5318 (2024)
The three Ground Reaction Force (GRF) components can be estimated using pressure insole sensors. In this paper, we compare the accuracy of estimating GRF components for both feet using six methods: three Deep Learning (DL) methods (Artificial Neural
Externí odkaz:
https://doaj.org/article/2950b61a62d94369a766704bccae3a7e
Typestates are state machines used in object-oriented programming to specify and verify correct order of method calls on an object. To avoid inconsistent object states, typestates enforce linear typing, which eliminates - or at best limits - aliasing
Externí odkaz:
http://arxiv.org/abs/2107.13101
Autor:
Yanchenko, Anna K., Soltani, Mohammadreza, Ravier, Robert J., Mukherjee, Sayan, Tarokh, Vahid
Understanding the features learned by deep models is important from a model trust perspective, especially as deep systems are deployed in the real world. Most recent approaches for deep feature understanding or model explanation focus on highlighting
Externí odkaz:
http://arxiv.org/abs/2106.00110
Publikováno v:
Journal of Glaciology, Vol 69, Pp 860-878 (2023)
Surging and streaming of glaciers are modulated by meltwater availability and pressure which controls mechanical coupling at their beds. Using laboratory-scale experimental modelling and palaeoglaciological mapping, we explore how subglacial drainage
Externí odkaz:
https://doaj.org/article/49b291ac6b6b4f6884e2bda11c064a65
In this paper, we propose a neural architecture search framework based on a similarity measure between some baseline tasks and a target task. We first define the notion of the task similarity based on the log-determinant of the Fisher Information mat
Externí odkaz:
http://arxiv.org/abs/2103.00241
The design of handcrafted neural networks requires a lot of time and resources. Recent techniques in Neural Architecture Search (NAS) have proven to be competitive or better than traditional handcrafted design, although they require domain knowledge
Externí odkaz:
http://arxiv.org/abs/2010.13962