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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
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Time to market reduction for hydrogen fuel cell stacks using Generative Adversarial Networks
N. Morizet, P. Desforges, C. Geissler, E. Pahon, S. Jemei and D. Hissel. In "Elsevier Journal of Power Sources", 30 September 2023.
Advestis
15 juin 2023
A Pilot Study on the Use of Generative Adversarial Networks for Data Augmentation of Time Series
N. Morizet, M. Rizzato, D. Grimbert and G. Luta. Brief Report, MDPI AI Special Issue "Feature Papers for AI", September 26th 2022.
Advestis
26 sept. 2022
Stress testing electrical grids: Generative Adversarial Networks for load scenario generation
M. Rizzato, N. Morizet, W. Maréchal and C. Geissler. "Elsevier Energy and AI" 9 (2022).
Advestis
11 juil. 2022
Introduction to Generative Adversarial Networks
N. Morizet, Advestis Tech Report, July 2020.
Advestis
15 juil. 2020
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