Variance-based selection of variables to improve prediction capability of innovative sensors in uncontrolled environment

Authors

Guillaume Perrin (ORCID: https://orcid.org/0000-0002-0592-6094)
Bérengère Lebental (ORCID: https://orcid.org/0000-0001-8985-8203)
Marine Dumon (ORCID: https://orcid.org/0009-0001-2008-2555)

Institutions

Laboratoire Modélisation et Simulation Multi-Echelle (FR)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2025-04-23
Primary Topic: Food Supply Chain Traceability
Type: article
Field-Weighted Citation Impact: 0.00

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article

Variance-based selection of variables to improve prediction capability of innovative sensors in uncontrolled environment

Guillaume Perrin, Bérengère Lebental, Marine Dumon

Apr 23, 2025

SPIRE - Sciences Po Institutional REpository

Food Supply Chain Traceability

article

Variance-based selection of variables to improve prediction capability of innovative sensors in uncontrolled environment

Guillaume Perrin, Bérengère Lebental, Marine Dumon

April 23, 2025article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Laboratoire Modélisation et Simulation Multi-Echelle (FR)

Openalex Percentile: Top 69%

Food Supply Chain Traceability

OpenAlex

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Variance-based selection of variables to improve prediction capability of innovative sensors in uncontrolled environment — Guillaume Perrin, Bérengère Lebental, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS