Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Cédric Baudrit"'
Publikováno v:
PLoS ONE, Vol 19, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/3c33e43fc1654213a81ba2852f1dcf6c
Autor:
Nathalie Perrot, Cédric Baudrit, Jean Marie Brousset, Philippe Abbal, Hervé Guillemin, Bruno Perret, Etienne Goulet, Laurence Guerin, Gérard Barbeau, Daniel Picque
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0134373 (2015)
Agri-food is one of the most important sectors of the industry and a major contributor to the global warming potential in Europe. Sustainability issues pose a huge challenge for this sector. In this context, a big issue is to be able to predict the m
Externí odkaz:
https://doaj.org/article/f907def864284a12b6956c7ba297f19e
Publikováno v:
In Futures September 2024 162
Autor:
Sylvain Ndinga Okina, Cédric Baudrit, Denys Breysse, Franck Taillandier, Paul Louzolo-Kimbembe
Publikováno v:
American Journal of Civil Engineering and Architecture. 10:157-168
Publikováno v:
SSRN Electronic Journal.
Autor:
Cédric Baudrit, C. Trelea, Magdalena Kristiawan, Sofiane Guessasma, Pierre-Sylvain Mirade, Guillaume Delaplace, Valérie Guillard, L. Pottier, Jason Sicard, Denis Flick, Amadou Ndiaye, G. Della Valle, Sébastien Curet, Philippe Bohuon, Alain Kondjoyan, Patrice Buche, G. Trystram, Violaine Athès, D. Della Valle, Hubert Chiron, F. Courtois, Ioana Suciu, Kamal Kansou, Christophe Fernandez, Pascal Tournayre, Artemio Plana-Fattori
Publikováno v:
Journal of Food Engineering
Journal of Food Engineering, Elsevier, 2021, 293, pp.110375. ⟨10.1016/j.jfoodeng.2020.110375⟩
Journal of Food Engineering, 2021, 293, pp.110375. ⟨10.1016/j.jfoodeng.2020.110375⟩
Journal of Food Engineering, Elsevier, 2021, 293, pp.110375. ⟨10.1016/j.jfoodeng.2020.110375⟩
Journal of Food Engineering, 2021, 293, pp.110375. ⟨10.1016/j.jfoodeng.2020.110375⟩
International audience; This paper presents a digital learning tool, MESTRAL (“Modélisation Et Simulation des TRansformations ALimentaires”, “Modelling and Simulating Food Processing” in English), that can provide educators with a tool to te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::060c7c99384f0346eb81b00c87bf1668
https://hal.inrae.fr/hal-02980650/document
https://hal.inrae.fr/hal-02980650/document
Publikováno v:
Computer-Aided Civil and Infrastructure Engineering. 34:97-115
Publikováno v:
40. IABSE Symposium
40. IABSE Symposium, IABSE., Sep 2018, Nantes, France
40. IABSE Symposium, IABSE., Sep 2018, Nantes, France
Failure analysis in civil engineering mostly remains a field for experts. Since experts can derive valuable information from any failure case, a key challenge is that of producing new knowledge from a set of cases. Another challenge is to draw simila
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4e43be250998b265ec9751393aaf9b6
https://hal.inrae.fr/hal-02787237
https://hal.inrae.fr/hal-02787237
Publikováno v:
Journal of Food Engineering
Journal of Food Engineering, Elsevier, 2013, 115 (1), pp.1-10. ⟨10.1016/j.jfoodeng.2012.09.012⟩
Journal of Food Engineering, 2013, 115 (1), pp.1-10. ⟨10.1016/j.jfoodeng.2012.09.012⟩
Journal of Food Engineering, Elsevier, 2013, 115 (1), pp.1-10. ⟨10.1016/j.jfoodeng.2012.09.012⟩
Journal of Food Engineering, 2013, 115 (1), pp.1-10. ⟨10.1016/j.jfoodeng.2012.09.012⟩
International audience; Faced with the fragmented and heterogeneous character of knowledge regarding complex food systems, we have developed a practical methodology, in the framework of the dynamic Bayesian networks associated with Dirichlet distribu
Publikováno v:
Information Sciences
Information Sciences, Elsevier, 2016, 367-368, pp.630-647. ⟨10.1016/j.ins.2016.07.003⟩
Information Sciences, 2016, 367-368, pp.630-647. ⟨10.1016/j.ins.2016.07.003⟩
Information Sciences, Elsevier, 2016, 367-368, pp.630-647. ⟨10.1016/j.ins.2016.07.003⟩
Information Sciences, 2016, 367-368, pp.630-647. ⟨10.1016/j.ins.2016.07.003⟩
Knowledge regarding complex systems are heterogeneous and fragmented.modelling dynamic complex systems in the framework of dynamic credal networks.practical methodology coupling Dirichlet distributions with interval probabilities to incrementally bui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58e75c92d32fc07ce1cf9ea1d3deb1ad
http://hdl.handle.net/20.500.12278/77540
http://hdl.handle.net/20.500.12278/77540