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2020 – today
- 2024
[j3]Jakob Adrian Kruse, Leon Ciechanowski
, Ambre Dupuis, Ignacio Vazquez, Peter A. Gloor:
Leveraging the Sensitivity of Plants with Deep Learning to Recognize Human Emotions. Sensors 24(6): 1917 (2024)- [c4]Louis Puech, Ambre Dupuis, Camélia Dadouchi, Robert Pellerin:
Applied Data Analytics Approach for Defect Root Causes Analysis in Manufacturing: The Case of Multi-Product Assembly Lines. COMPSAC 2024: 264-272 - [c3]Loïc Parrenin, Ambre Dupuis, Christophe Danjou, Bruno Agard:
Machine Learning Tool for Yield Maximization in Cream Cheese Production. IN4PL (1) 2024: 97-114 - 2023
- [j2]Ambre Dupuis, Camélia Dadouchi, Bruno Agard:
A decision support system for sequencing production in the manufacturing industry. Comput. Ind. Eng. 185: 109686 (2023) - [c2]Ambre Dupuis, Camélia Dadouchi, Bruno Agard:
Digital Technologies and Emotions: Spectrum of Worker Decision Behavior Analysis. PLM (2) 2023: 197-209 - 2022
- [j1]Ambre Dupuis, Camélia Dadouchi, Bruno Agard:
Predicting crop rotations using process mining techniques and Markov principals. Comput. Electron. Agric. 194: 106686 (2022) - [c1]Ambre Dupuis, Camélia Dadouchi, Bruno Agard, Robert Pellerin:
Forecasting Future Product Sequences To Be Processed In Tire Production Using Deep Learning Technique. CENTERIS/ProjMAN/HCist 2022: 354-361
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