Zobrazeno 1 - 10
of 3 909
pro vyhledávání: '"Monnet P"'
Autor:
Maréchal, Loïc, Monnet, Nathan
We use a methodology based on a machine learning algorithm to quantify firms' cyber risks based on their disclosures and a dedicated cyber corpus. The model can identify paragraphs related to determined cyber-threat types and accordingly attribute se
Externí odkaz:
http://arxiv.org/abs/2409.08728
Publikováno v:
Phys. Rev. Fluids, volume 9, issue 7,pages 073601, July 2024
We report experimental results on the dynamics of large bubbles in a Hele-Shaw cell subject to various inclination angles with respect to gravity. Low Reynolds number cases are studied by injecting bubbles in an stagnant water/UCON mixture in three d
Externí odkaz:
http://arxiv.org/abs/2407.13916
Autor:
Monnet, Maureen, Chaabani, Nermine, Dragan, Theodora-Augustina, Schachtner, Balthasar, Lorenz, Jeanette Miriam
Quantum machine learning was recently applied to various applications and leads to results that are comparable or, in certain instances, superior to classical methods, in particular when few training data is available. These results warrant a more in
Externí odkaz:
http://arxiv.org/abs/2405.03027
Autor:
Monnet, Sebastian
Given a number field $k$, a finitely generated subgroup $\mathcal{A}\subseteq k^\times$, and an integer $n\geq 3$, we study the distribution of $S_n$-extensions of $k$ such that the elements of $\mathcal{A}$ are norms. For $n\leq 5$, and conjecturall
Externí odkaz:
http://arxiv.org/abs/2405.02740
Publikováno v:
Journal of Sports Sciences, 2023, 41 (7), pp.677-685
Optimal postural stability is required to perform in archery. Since the dynamic consequences of the string release may disturb the archer's postural equilibrium, they should have integrated them in their motor program to optimize postural stability.
Externí odkaz:
http://arxiv.org/abs/2402.12389
Autor:
Riccoboni, Jean-Baptiste, Monnet, Tony, Eon, Antoine, Lacouture, Patrick, Gazeau, Jean-Pierre, Campone, Mario
Publikováno v:
Applied Ergonomics, 2021, 90, pp.103284
Background: Occupational safety and health institutions report that caregivers areparticularly at risk of developing work-related musculoskeletal disorders (WRMSDs) andpatient handling is often pointed out as one of the main causes. While lots of stu
Externí odkaz:
http://arxiv.org/abs/2402.09479
Autor:
Monnet, Domnique, Orban, Dominique
We propose a multi-precision extension of the Quadratic Regularization (R2) algorithm that enables it to take advantage of low-precision computations, and by extension to decrease energy consumption during the solve. The lower the precision in which
Externí odkaz:
http://arxiv.org/abs/2312.07673
Autor:
Francesco Gavelli, Luigi Mario Castello, Xavier Monnet, Danila Azzolina, Ilaria Nerici, Simona Priora, Valentina Giai Via, Matteo Bertoli, Claudia Foieni, Michela Beltrame, Mattia Bellan, Pier Paolo Sainaghi, Nello De Vita, Filippo Patrucco, Jean-Louis Teboul, Gian Carlo Avanzi
Publikováno v:
International Journal of Emergency Medicine, Vol 17, Iss 1, Pp 1-9 (2024)
Abstract Background Haemoglobin variation (ΔHb) induced by fluid transfer through the intestitium has been proposed as a useful tool for detecting hydrostatic pulmonary oedema (HPO). However, its use in the emergency department (ED) setting still ne
Externí odkaz:
https://doaj.org/article/a5bc432e90e842d3ac9d331ae3484ee0
Autor:
Julie Helms, Pierre Catoire, Laure Abensur Vuillaume, Héloise Bannelier, Delphine Douillet, Claire Dupuis, Laura Federici, Melissa Jezequel, Mathieu Jozwiak, Khaldoun Kuteifan, Guylaine Labro, Gwendoline Latournerie, Fabrice Michelet, Xavier Monnet, Romain Persichini, Fabien Polge, Dominique Savary, Amélie Vromant, Imane Adda, Sami Hraiech
Publikováno v:
Annals of Intensive Care, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Introduction Although largely used, the place of oxygen therapy and its devices in patients with acute hypoxemic respiratory failure (ARF) deserves to be clarified. The French Intensive Care Society (Société de Réanimation de Langue Fran
Externí odkaz:
https://doaj.org/article/2dffecfef3e94117bf3cedd4dc91d9f2
Autor:
Monnet, Maureen, Gebran, Hanady, Matic-Flierl, Andrea, Kiwit, Florian, Schachtner, Balthasar, Bentellis, Amine, Lorenz, Jeanette Miriam
Quantum machine learning has received significant interest in recent years, with theoretical studies showing that quantum variants of classical machine learning algorithms can provide good generalization from small training data sizes. However, there
Externí odkaz:
http://arxiv.org/abs/2305.05603