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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

Time to market reduction for hydrogen fuel cell stacks using Generative Adversarial Networks

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

A Pilot Study on the Use of Generative Adversarial Networks for Data Augmentation of Time Series

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

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