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Gao, W., Ibaraki, S., Donmez, M. A., Kono, D., Mayer, J. R. R., Chen, Y.-L., Szipka, K., Archenti, A., Linares, J.-M., & Suzuki, N. (2023). Machine tool calibration: Measurement, modeling, and compensation of machine tool errors. International Journal of Machine Tools and Manufacture, 187, 61 pages. Lien externe
Latulippe, M., Khameneifar, F., & Mayer, J. R. R. (mai 2023). Correction of the systematic errors of 3D scanner measurements by data fusion with CMM data [Communication écrite]. International Congress of the Canadian Society of Mechanical Engineering (CSME 2023), Sherbrooke, QC, Canada. Lien externe
Ngoc, H. V., Mayer, J. R. R., & Bitar-Nehme, E. (2023). Deep Learning to Directly Predict Compensation Values of Thermally Induced Volumetric Errors. Machines, 11(4), 16 pages. Lien externe
Zeng, M., Mayer, J. R. R., & Duong, X.T. (mai 2023). Prediction of diameter error in one-setup machining test by using machine learning algorithms [Résumé]. Canadian Society for Mechanical Engineering (CSME) / Computational Fluid Dynamics Society of Canada (CFD Canada). International congress, Sherbrooke, Qc, Canada (1 page). Publié dans Progress in Canadian Mechanical Engineering, 6. Lien externe
