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pro vyhledávání: '"M.H. Masson"'
Akademický článek
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Autor:
A.N. Boudaoud, M.H. Masson
Publikováno v:
IFAC Proceedings Volumes. 31:131-135
An adaptive fuzzy diagnosis system is presented for diagnosis of incipient sensor faults in an environmental process. Simulations demonstrate the capabilities of the system to detect the occurence of slow evolutions and to localise the faulty sensor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7254044ad425c84758327518ae53aaf
https://doi.org/10.1016/s1474-6670(17)37548-1
https://doi.org/10.1016/s1474-6670(17)37548-1
Publikováno v:
IFAC Proceedings Volumes. 29:6424-6428
This paper gives a description of an adaptative on-line diagnosis system for the detection of slow varying changes in dynamical systems. This fault detection system is based on both a learning and a supervisor module. The learning module acts as an a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f14f65e17d679132e46d1b4f2740c259
https://doi.org/10.1016/s1474-6670(17)58712-1
https://doi.org/10.1016/s1474-6670(17)58712-1
Autor:
Johny, Jibin1 (AUTHOR) jibinmjo@gmail.com, Große-Wilde, Ewald1 (AUTHOR), Kalinová, Blanka1 (AUTHOR), Roy, Amit1 (AUTHOR) roy@fld.czu.cz
Publikováno v:
International Journal of Molecular Sciences. Sep2024, Vol. 25 Issue 17, p9513. 21p.
Publikováno v:
IFAC Proceedings Volumes. 24:429-432
The reject option, well-known concept in classical pattern recognition methods, is a useful tool for diagnosis problems. Classical multi-layered networks, which are known to approximate a Bayesian classifier, do not allow reject. The purpose of this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf8841de21fec4781860b8021fb905f9
https://doi.org/10.1016/s1474-6670(17)51178-7
https://doi.org/10.1016/s1474-6670(17)51178-7
Autor:
B. Dubuisson, M.H. Masson
Publikováno v:
Proceedings of IEEE Systems Man and Cybernetics Conference - SMC.
A neural classifier, well-adapted to the diagnosis problem, is presented in this paper. It is able to learn the non-convex envelop of the classes and so, to allow the rejection of points situated far from high density regions in the space. The basic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8435d3f1608449dd873f8df78231ecb
https://doi.org/10.1109/icsmc.1993.384832
https://doi.org/10.1109/icsmc.1993.384832
Publikováno v:
Diabetes & Metabolism. 37:A72
Introduction Pax6 est un facteur de transcription implique dans le developpement du pancreas endocrine. L’invalidation du gene Pax6 chez la souris est caracterisee principalement par une absence de cellules a glucagon et une forte diminution du nom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f6bb3ff1844939c4b518b90c86a0754
https://doi.org/10.1016/s1262-3636(11)70785-6
https://doi.org/10.1016/s1262-3636(11)70785-6
The reject option, well-known concept in classical pattern recognition methods, is a useful tool for diagnosis problems. Classical multi-layered networks, which are known to approximate a Bayesian classifier, do not allow reject. The purpose of this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02a755928e52a58294a2f80e0fc3b97e
https://doi.org/10.1016/b978-0-08-041275-7.50066-1
https://doi.org/10.1016/b978-0-08-041275-7.50066-1
Autor:
Yang, Hua1 (AUTHOR) 13963@sicau.edu.cn, Liu, Long1 (AUTHOR), Wang, Fan1 (AUTHOR) liulong@sicau.edu.cn, Yang, Wei1 (AUTHOR), Huang, Qiong1 (AUTHOR), Wang, Nanxi1 (AUTHOR), Hu, Hongling1 (AUTHOR)
Publikováno v:
Insects (2075-4450). Feb2024, Vol. 15 Issue 2, p111. 16p.
Autor:
Dragomanova, Stela1 (AUTHOR) stela_dragomanova@abv.bg, Andonova, Velichka2 (AUTHOR) velichka.andonova@mu-varna.bg, Volcho, Konstantin3 (AUTHOR) volcho@nioch.nsc.ru, Salakhutdinov, Nariman3 (AUTHOR) anvar@nioch.nsc.ru, Kalfin, Reni4,5 (AUTHOR) lyubkatancheva@gmail.com, Tancheva, Lyubka4 (AUTHOR)
Publikováno v:
Life (2075-1729). Oct2023, Vol. 13 Issue 10, p2086. 19p.