Development of robust neural network architectures for federated FT-MIR prediction of enteric methane emissions in dairy cows

Authors

Nicolas Gengler (ORCID: https://orcid.org/0000-0002-5981-5509)
Frédéric Dehareng (ORCID: https://orcid.org/0000-0002-6733-4334)
S. McParland (ORCID: https://orcid.org/0000-0003-3320-2330)
Björn Kuhla (ORCID: https://orcid.org/0000-0002-2032-5502)
Hélène Soyeurt (ORCID: https://orcid.org/0000-0001-9883-9047)
Amélie Vanlierde (ORCID: https://orcid.org/0000-0002-4619-1936)
M Bell
Peter Lund
Cécile Martin
Mickael Kreuzer

Publication Details

Journal: HAL (Le Centre pour la Communication Scientifique Directe)
Published: 2026-06-29
Primary Topic: Odor and Emission Control Technologies
Type: article
Field-Weighted Citation Impact: 0.00

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article

Development of robust neural network architectures for federated FT-MIR prediction of enteric methane emissions in dairy cows

Nicolas Gengler, Frédéric Dehareng, S. McParland, Björn Kuhla et al.

Jun 29, 2026

HAL (Le Centre pour la Communication Scientifique Directe)

Odor and Emission Control Technologies

article

Development of robust neural network architectures for federated FT-MIR prediction of enteric methane emissions in dairy cows

Nicolas Gengler, Frédéric Dehareng, S. McParland, Björn Kuhla, Hélène Soyeurt, Amélie Vanlierde, M Bell, Peter Lund, Cécile Martin, Mickael Kreuzer

June 29, 2026article en

Abstract

No abstract available for this paper.

HAL (Le Centre pour la Communication Scientifique Directe)

Openalex Percentile: Top 16%

Odor and Emission Control Technologies

OpenAlex

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Development of robust neural network architectures for federated FT-MIR prediction of enteric methane emissions in dairy cows — Nicolas Gengler, Frédéric Dehareng, et al. · HAL (Le Centre pour la Communication Scientifique Directe) (2026) | TGRS Research Map | TGRS