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Comparing prospective methods to identify latent needs An application to digital twin for maintenance 4.0

Year: 2024

Type: conference-paper

Abstract: International audience

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Kamoise, Naomi, Guérin, Clément, Hamzaoui, Mohammed, Julien, Nathalie, Dupont, Jérémy, Forestier, Laurent

Institutions: Université de Bretagne Sud, Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance

Language: English

Topic: Digital Transformation in Industry

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W4402954026

FWCI:

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