Shi, M., Ding, C., Wang, R., Song, Q., Shen, C., Huang, W., & Zhu, Z. (2023). Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis. Knowledge-based systems, 260, 110172. https://doi.org/10.1016/j.knosys.2022.110172
Citácia podle Chicago (17th ed.)Shi, Mingkuan, Chuancang Ding, Rui Wang, Qiuyu Song, Changqing Shen, Weiguo Huang, a Zhongkui Zhu. "Deep Hypergraph Autoencoder Embedding: An Efficient Intelligent Approach for Rotating Machinery Fault Diagnosis." Knowledge-based Systems 260 (2023): 110172. https://doi.org/10.1016/j.knosys.2022.110172.
Citácia podľa MLA (8th ed.)Shi, Mingkuan, et al. "Deep Hypergraph Autoencoder Embedding: An Efficient Intelligent Approach for Rotating Machinery Fault Diagnosis." Knowledge-based Systems, vol. 260, 2023, p. 110172, https://doi.org/10.1016/j.knosys.2022.110172.