Forecasting Future Product Sequences To Be Processed In Tire Production Using Deep Learning Technique. - Ambre Dupuis; Camélia Dadouchi; Bruno Agard; Robert Pellerin (CENTERIS/ProjMAN/HCist, 2022)

Predicting crop rotations using process mining techniques and Markov principals. - Ambre Dupuis; Camélia Dadouchi; Bruno Agard (Comput. Electron. Agric., 2022)

Digital Technologies and Emotions: Spectrum of Worker Decision Behavior Analysis. - Ambre Dupuis; Camélia Dadouchi; Bruno Agard (PLM (2), 2023)

A decision support system for sequencing production in the manufacturing industry. - Ambre Dupuis; Camélia Dadouchi; Bruno Agard (Comput. Ind. Eng., 2023)

Applied Data Analytics Approach for Defect Root Causes Analysis in Manufacturing: The Case of Multi-Product Assembly Lines. - Louis Puech; Ambre Dupuis; Camélia Dadouchi; Robert Pellerin (COMPSAC, 2024)

Machine Learning Tool for Yield Maximization in Cream Cheese Production. - Loïc Parrenin; Ambre Dupuis; Christophe Danjou; Bruno Agard (IN4PL (1), 2024)

Leveraging the Sensitivity of Plants with Deep Learning to Recognize Human Emotions. - Jakob Adrian Kruse; Leon Ciechanowski; Ambre Dupuis; Ignacio Vazquez; Peter A. Gloor (Sensors, 2024)