Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Pierre, Beauseroy"'
Publikováno v:
Fashion and Textiles, Vol 10, Iss 1, Pp 1-17 (2023)
Abstract The use of artificial intelligence to predict body dimensions rather than measuring them by stylists or 3D scanners permits to obtain easily all measurements of individual consumers and can consequently reduce costs of population survey camp
Externí odkaz:
https://doaj.org/article/839c3acaff034b6cb6912e02729aea4c
Autor:
Azzam Alwan, Remi Cogranne, Pierre Beauseroy, Edith Grall-Maes, Nicolas Belloy, Laurent Debelle, Stephanie Baud, Manuel Dauchez, Sebastien Almagro
Publikováno v:
IEEE Access, Vol 9, Pp 92143-92156 (2021)
Over the past decades, the understanding of peptides and proteins biological functions has been an active research topic. Latest research works in this field have suggested that protein conformations may be a key feature for gaining insights into pro
Externí odkaz:
https://doaj.org/article/67b6802432f44a2b8774289c3bc36cd3
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-10 (2019)
Abstract Background Next generation sequencing instruments are providing new opportunities for comprehensive analyses of cancer genomes. The increasing availability of tumor data allows to research the complexity of cancer disease with machine learni
Externí odkaz:
https://doaj.org/article/0764c22fc7c14c33a54de37d3fb320b1
Autor:
Aïcha, Ben Zemzem, Aline, Genevaux, Amandine, Wahart, Andrew J, Bodey, Sébastien, Blaise, Béatrice, Romier-Crouzet, Jessica, Jonquet, Camille, Bour, Rémi, Cogranne, Pierre, Beauseroy, Manuel, Dauchez, Michael J, Sherratt, Laurent, Debelle, Sébastien, Almagro
Publikováno v:
FASEB journal : official publication of the Federation of American Societies for Experimental BiologyREFERENCES. 35(10)
The arterial wall consists of three concentric layers: intima, media, and adventitia. Beyond their resident cells, these layers are characterized by an extracellular matrix (ECM), which provides both biochemical and mechanical support. Elastin, the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d514f75777de15fea52e17256eae46b0
https://pubmed.ncbi.nlm.nih.gov/34473371
https://pubmed.ncbi.nlm.nih.gov/34473371
Autor:
Pierre Beauseroy, Edith Grall-Maës
Publikováno v:
Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5b3483491ba9676a36418b9af1051e6
https://doi.org/10.3850/978-981-18-2016-8_652-cd
https://doi.org/10.3850/978-981-18-2016-8_652-cd
Publikováno v:
AJEA
AJEA, 2020, ⟨10.33414/ajea.5.779.2020⟩
AJEA, 2020, 5, ⟨10.33414/ajea.5.779.2020⟩
AJEA, 2020, ⟨10.33414/ajea.5.779.2020⟩
AJEA, 2020, 5, ⟨10.33414/ajea.5.779.2020⟩
International audience; Los perfiles tumorales en humanos pueden ser caracterizados por su genómica mediante la expresión de miles de genes. Este tipo de señales pueden ser aprovechadas para detectar estadísticamente patrones que permitan clasifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5d22fa5f6f86485d8f49ec1d1c1b2fc
https://hal-utt.archives-ouvertes.fr/hal-03320940
https://hal-utt.archives-ouvertes.fr/hal-03320940
Autor:
Remi Cogranne, Blaise Kevin Guepie, Fouzi Harrou, Edith Grall, Pierre Beauseroy, Jean-Philippe Jeannot, Igor Nikiforov, Lionel Fillatre
Publikováno v:
Nuclear Engineering and Design
Nuclear Engineering and Design, 2020, 366, pp.110733. ⟨10.1016/j.nucengdes.2020.110733⟩
Nuclear Engineering and Design, Elsevier, 2020, 366, pp.110733. ⟨10.1016/j.nucengdes.2020.110733⟩
Nuclear Engineering and Design, 2020, 366, pp.110733. ⟨10.1016/j.nucengdes.2020.110733⟩
Nuclear Engineering and Design, Elsevier, 2020, 366, pp.110733. ⟨10.1016/j.nucengdes.2020.110733⟩
The on-line diagnosis can be defined as a sequence of operations designed to detect, to isolate an anomaly and to mitigate its impact before it affects the inspected system. In the context of the project ALPES 2 (local accidents – protection and mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25253a0257fc6fe4be4bae023e696408
https://hal.science/hal-02906760/file/S0029549320302272.pdf
https://hal.science/hal-02906760/file/S0029549320302272.pdf
Publikováno v:
Annals of Nuclear Energy
Annals of Nuclear Energy, 2020, 142, pp.107357. ⟨10.1016/j.anucene.2020.107357⟩
Annals of Nuclear Energy, Elsevier Masson, 2020, 142, pp.107357. ⟨10.1016/j.anucene.2020.107357⟩
Annals of Nuclear Energy, 2020, 142, pp.107357. ⟨10.1016/j.anucene.2020.107357⟩
Annals of Nuclear Energy, Elsevier Masson, 2020, 142, pp.107357. ⟨10.1016/j.anucene.2020.107357⟩
The heat exchanger (HE) should be permanently monitored in order to detect water or nitrogen leaking into a sodium circuit, which can affect the sodium-cooled fast reactor (SFR) performance or safety. The HE must be shut down in a few seconds after t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b70a28129324dc221c8f8269a852de09
https://utt.hal.science/hal-02480730
https://utt.hal.science/hal-02480730
Publikováno v:
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture, 2020, 174, pp.105501. ⟨10.1016/j.compag.2020.105501⟩
Computers and Electronics in Agriculture, Elsevier, 2020, 174, pp.105501. ⟨10.1016/j.compag.2020.105501⟩
Computers and Electronics in Agriculture, 2020, 174, pp.105501. ⟨10.1016/j.compag.2020.105501⟩
Computers and Electronics in Agriculture, Elsevier, 2020, 174, pp.105501. ⟨10.1016/j.compag.2020.105501⟩
International audience; In the last few years, deep learning methods have been proposed to automate the quality control of various agricultural products. Despite the excellent results obtained, one of their main drawbacks is the need for a large anno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37648a3442d5470b186ed90b43b948ba
https://utt.hal.science/hal-02737618/document
https://utt.hal.science/hal-02737618/document
Publikováno v:
Journal of Signal Processing Systems
Journal of Signal Processing Systems, 2018, 90 (3), pp.341-356
Journal of Signal Processing Systems, 2018, 90 (3), pp.341-356
International audience; Statistical machine learning, such as kernel methods, have been widely used to discover hidden regularities and patterns in data. In particular, one-class classification algorithms gained a lot of interest in a large number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e02446691800ae5d1160ef1f384b389a
https://doi.org/10.1007/s11265-017-1240-z
https://doi.org/10.1007/s11265-017-1240-z