APA (7th ed.) Citation

Jalayer, M., Kaboli, A., Orsenigo, C., & Vercellis, C. (2022). Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery. MDPI. https://doi.org/10.3390/machines10040237

Chicago Style (17th ed.) Citation

Jalayer, M., A. Kaboli, C. Orsenigo, and C. Vercellis. Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery. MDPI, 2022. https://dx.doi.org/10.3390/machines10040237.

MLA (8th ed.) Citation

Jalayer, M., et al. Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery. MDPI, 2022.