Classification and estimation of the mass composition of recycled aggregates by deep neural networks

Author:

Lux Jérôme,Lau Hiu Hoong Jean David,Mahieux Pierre-Yves,Turcry Philippe

Funder

Société d'Accélération du Transfert de Technologies

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference37 articles.

1. Application of artificial neural network and support vector regression in predicting mass of ber fruits (Ziziphus mauritiana Lamk.) based on fruit axial dimensions;Abdel-Sattar;PLoS One,2021

2. ADEME, Déchets chiffres-clés, édition 2020, 2020. 〈https://librairie.ademe.fr/dechets-economie-circulaire/28-dechets-chiffres-cles-edition-2020–9791029712135.html〉 (accessed June 22, 2021).

3. Effects of the parent concrete properties and crushing procedure on the properties of coarse recycled concrete aggregates;Akbarnezhad;J. Mater. Civ. Eng.,2013

4. YOLACT++: better real-time instance segmentation;Bolya;IEEE Trans. Pattern Anal. Mach. Intell.,2020

5. Mechanical performance of concrete made with aggregates from construction and demolition waste recycling plants;Bravo;J. Clean. Prod.,2015

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