DENG, W., NGUYEN, K. T., MEDJAHER, K., GOGU, C., & MORIO, J. (2023). Physics-informed machine learning in prognostics and health management: State of the art and challenges. Applied mathematical modelling, 124, 325-352. https://doi.org/10.1016/j.apm.2023.07.011
Citace podle Chicago (17th ed.)DENG, Weikun, Khanh T.P NGUYEN, Kamal MEDJAHER, Christian GOGU, a Jérôme MORIO. "Physics-informed Machine Learning in Prognostics and Health Management: State of the Art and Challenges." Applied Mathematical Modelling 124 (2023): 325-352. https://doi.org/10.1016/j.apm.2023.07.011.
Citace podle MLA (9th ed.)DENG, Weikun, et al. "Physics-informed Machine Learning in Prognostics and Health Management: State of the Art and Challenges." Applied Mathematical Modelling, vol. 124, 2023, pp. 325-352, https://doi.org/10.1016/j.apm.2023.07.011.