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Research
Advestis part of R&D Forvis Mazars has been developing and operating ML algorithms
in commercial production since 2013.
Explore our Research below
Rechercher
An adaptative approach for estimating the remaining useful life of a heavy-duty fuel cell vehicle
N. Morizet, P. Desforges, C. Geissler, E. Pahon, S. Jemei and D. Hissel. In "Elsevier Journal of Power Sources", Vol. 597, 30 March 2024.
Advestis
2 févr. 2024
Using Federated Learning for Collaborative Intrusion Detection Systems
M. Rizzato, Y. Laarouchi and C. Geissler. Journal of Systemics, Cybernetics and Informatics, 21(3), 29-36 (2023).
Advestis
12 déc. 2023
Journée "Transition vers l'hydrogène : innover ensemble", CNRS FRH2, 2023
C. Geissler and Pr. D. Hissel (IUF, Institut FEMTO-ST). Pitchs de binômes chercheurs-industriels, 18 Décembre 2023.
Advestis
11 déc. 2023
On Rank Selection in Non-Negative Matrix Factorization using Concordance
P. Fogel, C. Geissler, N. Morizet and G. Luta. "Special Issue Advances in Applied Probability and Statistical Inference", MDPI 2023.
Advestis
10 nov. 2023
Preventing Acute Limb Ischemia during VA-ECMO—In Silico Analysis of Physical Parameters
T. Brockaert, I. Ferreira, A. Laplante, P. Fogel, D. Grimbert and P. Mordant. Published in MDPI Journal of Clinical Medecine, 09/19/23.
Advestis
20 oct. 2023
Use cases H2 & IA - Forum Hydrogen Business for Climate, 2023
C. Geissler and Pr. D. Hissel (IUF, FEMTO-ST). Science Corner H2 & IA, Forum Hydrogen Business for Climate, October 3rd 2023.
Advestis
13 oct. 2023
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