Ouadah, A., Zemmouchi-Ghomari, L., & Salhi, N. (2022). Selecting an appropriate supervised machine learning algorithm for predictive maintenance. The International Journal of Advanced Manufacturing Technology, 1-25. https://doi.org/10.1007/s00170-021-08551-9
ISO-690 (author-date, English)OUADAH, Abdelfettah, ZEMMOUCHI-GHOMARI, Leila und SALHI, Nedjma, 2022. Selecting an appropriate supervised machine learning algorithm for predictive maintenance. The International Journal of Advanced Manufacturing Technology. 11 Januar 2022. P. 1-25. DOI 10.1007/s00170-021-08551-9.
Modern Language Association 9th editionOuadah, A., L. Zemmouchi-Ghomari, und N. Salhi. „Selecting an Appropriate Supervised Machine Learning Algorithm for Predictive Maintenance“. The International Journal of Advanced Manufacturing Technology, Januar 2022, S. 1-25, https://doi.org/10.1007/s00170-021-08551-9.
Mohr Siebeck - Recht (Deutsch - Österreich)Ouadah, Abdelfettah/Zemmouchi-Ghomari, Leila/Salhi, Nedjma: Selecting an appropriate supervised machine learning algorithm for predictive maintenance, The International Journal of Advanced Manufacturing Technology 2022, 1-25.
Emerald - HarvardOuadah, A., Zemmouchi-Ghomari, L. und Salhi, N. (2022), „Selecting an appropriate supervised machine learning algorithm for predictive maintenance“, The International Journal of Advanced Manufacturing Technology, S. 1-25.