Rida Kheirallah
- École des Mines de Saint-Étienne (Mines Saint-Étienne MSE)
- Institut Henri Fayol
- Département Génie mathématique et industriel (FAYOL-ENSMSE)
- Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS)
Publications
Publications
Energy Study for 28 nm Fully Depleted Silicon-On-Insulator DevicesJournal of Low Power Electronics, 2016, 12 (1), pp.58-63. ⟨10.1166/jolpe.2016.1420⟩ |
Anomaly Detection in a Production Line: Statistical Learning Approach and Industrial Application58th Conference on Manufacturing Systems - CMS 2025, Apr 2025, Enschede, Netherlands |
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Aggregated model for anomaly detection: a statistical learning approach56eme journees de Statistique de la SFdS, Jun 2025, Marseille, France |
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Anomaly Detection in a Production Line: Statistical Learning Approach and Industrial Application43th IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2024, Chemnitz, Germany. pp.341-354, ⟨10.1007/978-3-031-71637-9_23⟩ |
Combined analysis of supply voltage and body-bias voltage for energy managementPATMOS: Power And Timing Modeling, Optimization and Simulation, Jul 2018, Platja d’Aro, Spain. pp.88-91, ⟨10.1109/PATMOS.2018.8464159⟩ |
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Statistical Energy Study for 28nm FDSOI TechnologyVARI: Workshop on CMOS Variability, Sep 2015, Salvador, Bahia, Brazil |
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Statistical Energy Study for 28nm FDSOI DevicesEuroSimE: Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, Apr 2015, Budapest, Hungary. ⟨10.1109/EuroSimE.2015.7103149⟩ |
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Anomaly Detection in a Production Line: an Online/Offline Statistical Learning Approach2023 |
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Etude statistique de l’énergie dans les circuits intégrés CMOS-FDSOI : caractérisation et optimisationElectronique. Université Montpellier, 2016. Français. ⟨NNT : 2016MONTT342⟩ |