Zobrazeno 1 - 10
of 19 575
pro vyhledávání: '"Sicard"'
Autor:
Rué, Olivier, Coton, Monika, Dugat-Bony, Eric, Howell, Kate, Irlinger, Françoise, Legras, Jean-Luc, Loux, Valentin, Michel, Elisa, Mounier, Jérôme, Neuvéglise, Cécile, Sicard, Delphine
Publikováno v:
Peer Community Journal, Vol 3, Iss , Pp - (2023)
Next generation sequencing offers several ways to study microbial communities. For agri-food sciences, identifying species in diverse food ecosystems is key for both food sustainability and food security. The aim of this study was to compare metabarc
Externí odkaz:
https://doaj.org/article/28041c59c4074829b3e26837fc88e2ad
Autor:
Michel, Elisa, Masson, Estelle, Bubbendorf, Sandrine, Lapicque, Léocadie, Nidelet, Thibault, Segond, Diego, Guézenec, Stéphane, Marlin, Thérèse, Devillers, Hugo, Rué, Olivier, Onno, Bernard, Legrand, Judith, Sicard, Delphine
Publikováno v:
Peer Community Journal, Vol 3, Iss , Pp - (2023)
Preserving microbial diversity in food systems is one of the many challenges to be met to achieve food security and quality. Although industrialization led to the selection and spread of specific fermenting microbial strains, there are still ongoing
Externí odkaz:
https://doaj.org/article/0997406ae0224b57a931b58e26834e62
Assessing employees' well-being has become central to fostering an environment where employees can thrive and contribute to companies' adaptability and competitiveness in the market. Traditional methods for assessing well-being often face significant
Externí odkaz:
http://arxiv.org/abs/2410.20919
Autor:
Sicard, Brett
Machine tools are essential components of modern manufacturing. They are com posed of various mechanical, hydraulic, and electrical systems such as the spindle, tool changer, cooling system, and the linear and rotary feed drives. Due to their com ple
Externí odkaz:
http://hdl.handle.net/11375/29393
Autor:
Rodallec A, Sicard G, Giacometti S, Carré M, Pourroy B, Bouquet F, Savina A, Lacarelle B, Ciccolini J, Fanciullino R
Publikováno v:
International Journal of Nanomedicine, Vol Volume 13, Pp 6677-6688 (2018)
Anne Rodallec,1 Guillaume Sicard,1 Sarah Giacometti,1 Manon Carré,1 Bertrand Pourroy,2 Fanny Bouquet,3 Ariel Savina,3 Bruno Lacarelle,1 Joseph Ciccolini,1 Raphaelle Fanciullino1 1SMARTc Unit, Laboratory of Pharmacokinetics and Toxicology UFR Pharmac
Externí odkaz:
https://doaj.org/article/1ff542ded70b40148388d63637375924
This study presents a comprehensive overview of PIML techniques in the context of condition monitoring. The central concept driving PIML is the incorporation of known physical laws and constraints into machine learning algorithms, enabling them to le
Externí odkaz:
http://arxiv.org/abs/2401.11860