Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Sébastien PICAULT"'
Publikováno v:
Veterinary Research, Vol 53, Iss 1, Pp 1-14 (2022)
Abstract Bovine respiratory disease (BRD) dramatically affects young calves, especially in fattening facilities, and is difficult to understand, anticipate and control due to the multiplicity of factors involved in the onset and impact of this diseas
Externí odkaz:
https://doaj.org/article/fd55544d41f743c08d30d11523dba5b0
Publikováno v:
Epidemics, Vol 40, Iss , Pp 100616- (2022)
African swine fever (ASF) is an emerging disease currently spreading at the interface between wild boar and pig farms in Europe and Asia. Current disease control regulations, which involve massive culling with significant economic and animal welfare
Externí odkaz:
https://doaj.org/article/8c85bd9852c442c6ba8adf6ca762e4df
Autor:
Pauline Ezanno, Sébastien Picault, Servane Bareille, Gaël Beaunée, Gert Jan Boender, Emmanuelle A. Dankwa, François Deslandes, Christl A. Donnelly, Thomas J. Hagenaars, Sarah Hayes, Ferran Jori, Sébastien Lambert, Matthieu Mancini, Facundo Munoz, David R.J. Pleydell, Robin N. Thompson, Elisabeta Vergu, Matthieu Vignes, Timothée Vergne
Publikováno v:
Epidemics, Vol 40, Iss , Pp 100615- (2022)
Robust epidemiological knowledge and predictive modelling tools are needed to address challenging objectives, such as: understanding epidemic drivers; forecasting epidemics; and prioritising control measures. Often, multiple modelling approaches can
Externí odkaz:
https://doaj.org/article/f38b3536d5b742dc8f7a1abfd442aecc
Autor:
Pauline Ezanno, Sébastien Picault, Gaël Beaunée, Xavier Bailly, Facundo Muñoz, Raphaël Duboz, Hervé Monod, Jean-François Guégan
Publikováno v:
Veterinary Research, Vol 52, Iss 1, Pp 1-15 (2021)
Abstract Leveraging artificial intelligence (AI) approaches in animal health (AH) makes it possible to address highly complex issues such as those encountered in quantitative and predictive epidemiology, animal/human precision-based medicine, or to s
Externí odkaz:
https://doaj.org/article/25ce39ff092c42f19392ec24bbd4aede
Autor:
Pauline EZANNO, Sébastien PICAULT, Nathalie WINTER, Gaël BEAUNÉE, Hervé MONOD, Jean-François GUÉGAN
Publikováno v:
INRAE Productions Animales, Vol 33, Iss 2 (2020)
Mobiliser les approches issues de l’intelligence artificielle (IA) en santé animale (SA) permet d’aborder des problèmes de forte complexité logique ou algorithmique tels que rencontrés en épidémiologie quantitative et prédictive, en médec
Externí odkaz:
https://doaj.org/article/cfc01394e9c54ae2995e1ab800ac563e
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 9, p e1007342 (2019)
Stochastic mechanistic epidemiological models largely contribute to better understand pathogen emergence and spread, and assess control strategies at various scales (from within-host to transnational scale). However, developing realistic models which
Externí odkaz:
https://doaj.org/article/1313e1d7b5e84c4b9c7242fa3e17f5c6
Autor:
Véronique Bellon-Maurel, Evelyne Lutton, Pierre Bisquert, Ludovic Brossard, Stéphanie Chambaron-Ginhac, Pierre Labarthe, Philippe Lagacherie, Francois Martignac, Jérome Molenat, Nicolas Parisey, Sébastien Picault, Isabelle Piot-Lepetit, Isabelle Veissier
Publikováno v:
Agricultural Systems (0308-521X) (Elsevier BV), 2022-12, Vol. 203, P. 103524 (7p.)
Agricultural Systems
Agricultural Systems, 2022, 203, pp.103524. ⟨10.1016/j.agsy.2022.103524⟩
Agricultural Systems
Agricultural Systems, 2022, 203, pp.103524. ⟨10.1016/j.agsy.2022.103524⟩
International audience; CONTEXTSo far, digital technology development in agriculture has mainly dealt with precision agriculture, often associated with conventional large-scale systems. The emergence of digital agriculture - based on the triptych of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e06b199fdc01de603923db25ef905aea
https://archimer.ifremer.fr/doc/00798/90992/
https://archimer.ifremer.fr/doc/00798/90992/
Autor:
Jean-François Guégan, Gaël Beaunée, Hervé Monod, Pauline Ezanno, Nathalie Winter, Sébastien Picault
Publikováno v:
INRAE Productions Animales
INRAE Productions Animales, INRAE, 2020, 33 (2), pp.95-108. ⟨10.20870/productions-animales.2020.33.2.3572⟩
INRAE Productions Animales, INRAE, 2020, 33 (2), pp.95-108. ⟨10.20870/productions-animales.2020.33.2.3572⟩
National audience; Mobilizing Artificial Intelligence (AI) approaches in Animal Health (AH) makes it possible to address issues of high logical or algorithmic complexity such as those encountered in quantitative and predictive epidemiology, precision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f19b0790dd883ff567807b606062a09
https://doi.org/10.20870/productions-animales.2020.33.2.3572
https://doi.org/10.20870/productions-animales.2020.33.2.3572
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031181917
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fa861a45dad94b971eeebb3672175dd
https://doi.org/10.1007/978-3-031-18192-4_31
https://doi.org/10.1007/978-3-031-18192-4_31
Publikováno v:
ICAART (1)
13th International Conference on Agents and Artificial Intelligence
13th International Conference on Agents and Artificial Intelligence, Feb 2021, Online Streaming, France. pp.232-241, ⟨10.5220/0010223202320241⟩
13th International Conference on Agents and Artificial Intelligence
13th International Conference on Agents and Artificial Intelligence, Feb 2021, Online Streaming, France. pp.232-241, ⟨10.5220/0010223202320241⟩
International audience; This paper describes a generic design pattern to introduce organizational mechanisms into multi-level agent-based simulation architectures, to help the modelling of highly structured complex systems. This pattern makes it poss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd92668d830455fc2a5628e2c6a8d977
https://doi.org/10.5220/0010223202320241
https://doi.org/10.5220/0010223202320241