Lee, S. K. H., Simeth, A., Hinchy, E. P., Plapper, P., O’Dowd, N. P., & Mc Carthy, C. T. (2023). A vision-based hole quality assessment technique for robotic drilling of composite materials using a hybrid classification model. International Journal of Advanced Manufacturing Technology, 129(3/4), 1249-1258. https://doi.org/10.1007/s00170-023-12290-4

LEE, Stephen K. H., SIMETH, Alexej, HINCHY, Eoin P., PLAPPER, Peter, O’DOWD, Noel P. und MCCARTHY, Conor T., 2023. A vision-based hole quality assessment technique for robotic drilling of composite materials using a hybrid classification model. International Journal of Advanced Manufacturing Technology. 15 November 2023. Vol. 129, no. 3/4, p. 1249-1258. DOI 10.1007/s00170-023-12290-4.

Lee, S. K. H., A. Simeth, E. P. Hinchy, P. Plapper, N. P. O’Dowd, und C. T. Mc Carthy. „A Vision-Based Hole Quality Assessment Technique for Robotic Drilling of Composite Materials Using a Hybrid Classification Model.“. International Journal of Advanced Manufacturing Technology, Bd. 129, Nr. 3/4, November 2023, S. 1249-58, https://doi.org/10.1007/s00170-023-12290-4.

Lee, Stephen K. H./Simeth, Alexej/Hinchy, Eoin P./Plapper, Peter/O’Dowd, Noel P./Mc Carthy, Conor T.: A vision-based hole quality assessment technique for robotic drilling of composite materials using a hybrid classification model., International Journal of Advanced Manufacturing Technology 2023, 1249-1258.

Lee, S.K.H., Simeth, A., Hinchy, E.P., Plapper, P., O’Dowd, N.P. und Mc Carthy, C.T. (2023), „A vision-based hole quality assessment technique for robotic drilling of composite materials using a hybrid classification model.“, International Journal of Advanced Manufacturing Technology, Vol. 129 No. 3/4, S. 1249-1258.