Exploration of genetic algorithms to build a balanced neutron spectra dataset useful to train unfolding techniques based on artificial neural networks

Autor: Bouhadida Maha, Hmede Rodayna, Brovchenko Mariya, Monange Wilfried, Vinchon Thibaut, Ducasse Quentin, Trompier François

Publikováno v: EPJ Web of Conferences, Vol 302, p 17011 (2024)

Diverse domains need neutrons unfolding technics to assess the incident neutron energy spectrum. Examples are radiation protection, nuclear reactor physics or criticality safety. Traditionally, methods based on the Bayesian approach requires an initi

Externí odkaz: https://doaj.org/article/bbd2cee0be69412eb77c42f8e232c960

Modeling the butterfly behavior of SMA actuators using neural networks

Autor: Hmede, Rodayna, Chapelle, Frédéric, Lapusta, Yuri

Publikováno v: Comptes Rendus. Mécanique
Comptes Rendus. Mécanique, 2022, 350 (G1), pp.143-157. ⟨10.5802/crmeca.108⟩

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1769dfd784267488d35218326910cd76
https://doi.org/10.5802/crmeca.108

Penetration force measurement of a novel brain medium for leachable monitoring from deep brain stimulation's electrodes

Autor: Bouattour, Y., Hmede, Rodayna, Chapelle, Frédéric, Lapusta, Yuri, Sautou, V., Lemaire, Jean-Jacques

Publikováno v: Proc. of the 4ème journée scientifique commune TGI-IP/MPS-ICCF/TechMed
Proc. of the 4ème journée scientifique commune TGI-IP/MPS-ICCF/TechMed, Sep 2020, Clermont-Ferrand, France

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6a526051fb54d359b40fe402be119592
https://hal.uca.fr/hal-03086318