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Auteur: Ambre Dupuis
Type de publications: Articles publiés (RAC)
Année de début: 2022
Année de fin:
Mot clé dans le titre:
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Tri à l'intérieur de chaque année: Ordre alphabétique
Articles publiés (RAC)
Danjou Christophe, Agard Bruno, Dupuis Ambre, Parrenin L., Machine learning tool for yield maximization incream cheese production, Springer Cham, International Conference on Innovative Intelligent Industrial Production and Logistics, 2024
Kruse J.A., Ciechanowski L., Dupuis Ambre, Vazquez I., Gloor P.A., Leveraging the Sensitivity of Plants with Deep Learning to Recognize Human Emotions, Sensors, 24(6), 1917, 2024
Müller M., Dupuis Ambre, Zeulner T., Vazquez I., Hagerer J., Gloor P.A., Predicting Team Well-Being through Face Video Analysis with AI, Applied Sciences, 14(3), 1284, 2024
Pellerin Robert, Dupuis Ambre, Puech Louis, Dadouchi Camélia, Applied data Analytics approach for defect root causes analysis in manufacturing: the case of multi-product assembly lines, IEEE, 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC 2024), du 02-07-2024 au 04-07-2024, Osaka, Japon, 2024
Dupuis Ambre, Dadouchi Camélia, Agard Bruno, Methodology for multi-temporal prediction of crop rotations using recurrent neural networks, Smart Agricultural Technology, Vol. 4, 100152, 2023
Dupuis Ambre, Dadouchi Camélia, Agard Bruno, Performances of a Seq2Seq-LSTM methodology to predict crop rotations in Québec, Smart Agricultural Technology, Vol. 4, 100180, 2023
Dupuis Ambre, Dadouchi Camélia, Agard Bruno, A decision support system for sequencing production in the manufacturing industry, Computers & Industrial Engineering, Vol. 185, 109686, 2023
Dupuis Ambre, Dadouchi Camélia, Agard Bruno, Pellerin Robert, Forecasting Future Product Sequences To Be Processed In Tire Production Using Deep Learning Technique, Procedia Computer Science, 219(3), 354-361, 2023
Dupuis Ambre, Dadouchi Camélia, Agard Bruno, Predicting crop rotations using process mining techniques and Markov principals, Computers and Electronics in Agriculture, Vol. 194, 106686, 2022
Dupuis Ambre, Dadouchi Camélia, Agard Bruno, Tacit knowledge in production sequencing: a Seq2Seq-LSTM approach, IFAC-PapersOnLine, 55(10), 1600-1605, 2022
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