American Psychological Association 6th edition

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 and SALHI, Nedjma, 2022. Selecting an appropriate supervised machine learning algorithm for predictive maintenance. The International Journal of Advanced Manufacturing Technology. 11 January 2022. P. 1-25. DOI 10.1007/s00170-021-08551-9.

Modern Language Association 9th edition

Ouadah, A., L. Zemmouchi-Ghomari, and N. Salhi. “Selecting an Appropriate Supervised Machine Learning Algorithm for Predictive Maintenance”. The International Journal of Advanced Manufacturing Technology, Jan. 2022, pp. 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 - Harvard

Ouadah, A., Zemmouchi-Ghomari, L. and Salhi, N. (2022), “Selecting an appropriate supervised machine learning algorithm for predictive maintenance”, The International Journal of Advanced Manufacturing Technology, pp. 1-25.

Warning: These citations may not always be 100% accurate.