Yu, Q., Li, C., Zhu, Y., & Kurita, T. (2023). Convolutional autoencoder based on latent subspace projection for anomaly detection. Methods (San Diego, Calif.), 214, 48-59. https://doi.org/10.1016/j.ymeth.2023.04.007
Chicago Style (17th ed.) CitationYu, Qien, Chen Li, Ye Zhu, and Takio Kurita. "Convolutional Autoencoder Based on Latent Subspace Projection for Anomaly Detection." Methods (San Diego, Calif.) 214 (2023): 48-59. https://doi.org/10.1016/j.ymeth.2023.04.007.
MLA (9th ed.) CitationYu, Qien, et al. "Convolutional Autoencoder Based on Latent Subspace Projection for Anomaly Detection." Methods (San Diego, Calif.), vol. 214, 2023, pp. 48-59, https://doi.org/10.1016/j.ymeth.2023.04.007.
Warning: These citations may not always be 100% accurate.