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Auteur: Camélia Dadouchi
Type de publications: Articles publiés (RAC)
Année de début: 2021
Année de fin:
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Tri à l'intérieur de chaque année: Ordre alphabétique
Articles publiés (RAC)
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, Pellerin Robert, Forecasting Future Product Sequences To Be Processed In Tire Production Using Deep Learning Technique, Procedia Computer Science, 219(3), 354-361, 2023
Ferguène M., Lehoux Nadia, Dadouchi Camélia, Forecasting models for Quebec's lumber demand and exports using multivariate regression technique, The Forestry Chronicle, Volume 99, Number 1, March, 2023
Dadouchi Camélia, Agard Bruno, Montreuil Benoit, Context-Aware Interactive Knowledge-Based Recommendation, SN - Computer Science, Vol. 3 (472), 2022
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
Dadouchi Camélia, Agard Bruno, Recommender systems as an agility enabler in supply chain management, Journal of Intelligent Manufacturing, vol. 32(5), pp. 1229-1248, 2021
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