SAM: Soumissions récentes
Voici les éléments 2440-2446 de 6448
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Communication avec acte(Springer International Publishing, 2020)In recent years, a structural transformation of the manufacturing industry has been occurring as a result of the digital revolution. Thus, digital tools are now systematically used throughout the entire value chain, from ...
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Article dans une revue avec comité de lecture; ; ; ; ;
CHINESTA SORIA, Francisco (AIMS Press, 2020)
The aim of this paper is to leverage the main surface topological descriptors to classify tape surface profiles, through the modelling of the evolution of the degree of intimate contact along the consolidation of pre-impregnated ... -
Article dans une revue avec comité de lecture;ABISSET-CHAVANNE, Emmanuelle; ; ; (MDPI, 2020)
The domain of non-destructive testing (NDT) or thermal characterization is currently often done by using contactless methods based on the use of an IR camera to monitor the transient temperature response of a system or ...
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Article dans une revue avec comité de lecture; ; ; ; ; ; ;SKALLI, Wafa; PILLET, Helene (Elsevier, 2018)
Postural parameters, calculated in static position on frontal and sagittal radiographs, are altered in ambulant children with cerebral palsy (CP) and are known to be related to gait abnormalities [1,2]. Most of these ...
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Article dans une revue avec comité de lecture; ; ;LARATTE, Bertrand; ; (Elsevier, 2021)
The Geopolitical Supply Risk method, originally developed by Gemechu et al. (2016) and subsequently extended by Helbig et al. (2016a) and Cimprich et al. (2017, 2018), is aimed at incorporating supply risk assessment of ...
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Article dans une revue avec comité de lecture;RÉBILLAT, Marc; ; MECHBAL, Nazih (Elsevier, 2019)
Structural health monitoring (SHM) is an emerging technology designed to automate the inspectionprocess undertaken to assess the health condition of structures. The SHM process is classically decom-posed into four sequential ...
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Article dans une revue avec comité de lecture; ; ;CUETO, Elias; CHINESTA SORIA, Francisco (Elsevier, 2020)
We develop a method to learn physical systems from data that employs feedforward neural networks and whose predictions comply with the first and second principles of thermodynamics. The method employs a minimum amount of ...
