Diaz-Rozo, J., Bielza, C., & Larrañaga, P. (2020). Machine-tool condition monitoring with Gaussian mixture models-based dynamic probabilistic clustering. Engineering Applications of Artificial Intelligence, 89, N.PAG. https://doi.org/10.1016/j.engappai.2019.103434
Chicago Style (17th ed.) CitationDiaz-Rozo, Javier, Concha Bielza, and Pedro Larrañaga. "Machine-tool Condition Monitoring with Gaussian Mixture Models-based Dynamic Probabilistic Clustering." Engineering Applications of Artificial Intelligence 89 (2020): N.PAG. https://doi.org/10.1016/j.engappai.2019.103434.
MLA (9th ed.) CitationDiaz-Rozo, Javier, et al. "Machine-tool Condition Monitoring with Gaussian Mixture Models-based Dynamic Probabilistic Clustering." Engineering Applications of Artificial Intelligence, vol. 89, 2020, p. N.PAG, https://doi.org/10.1016/j.engappai.2019.103434.