Shaloo, M., Princz, G., Hörbe, R., & Erol, S. (2024). Flexible automation of quality inspection in parts assembly using CNN-based machine learning. Procedia Computer Science, 232, 2921-2932. https://doi.org/10.1016/j.procs.2024.02.108
ISO-690 (author-date, English)SHALOO, Masoud, PRINCZ, Gábor, HÖRBE, Roman und EROL, Selim, 2024. Flexible automation of quality inspection in parts assembly using CNN-based machine learning. Procedia Computer Science. 15 Januar 2024. Vol. 232, , p. 2921-2932. DOI 10.1016/j.procs.2024.02.108.
Modern Language Association 9th editionShaloo, M., G. Princz, R. Hörbe, und S. Erol. „Flexible Automation of Quality Inspection in Parts Assembly Using CNN-Based Machine Learning.“. Procedia Computer Science, Bd. 232, Januar 2024, S. 2921-32, https://doi.org/10.1016/j.procs.2024.02.108.
Mohr Siebeck - Recht (Deutsch - Österreich)Shaloo, Masoud/Princz, Gábor/Hörbe, Roman/Erol, Selim: Flexible automation of quality inspection in parts assembly using CNN-based machine learning., Procedia Computer Science 2024, 2921-2932.
Emerald - HarvardShaloo, M., Princz, G., Hörbe, R. und Erol, S. (2024), „Flexible automation of quality inspection in parts assembly using CNN-based machine learning.“, Procedia Computer Science, Vol. 232, S. 2921-2932.