APA (7th ed.) Citation

Zhou, Q., Yang, K., Ke, Z., Wang, G., Zhang, Y., Jia, Y., . . . Wu, M. (2023, December 6). Deep Learning Strategies for Addressing Anomalous Exposure in Image Processing: The FARDBUNet Approach. 2023 International Conference on High Performance Big Data and Intelligent Systems (HDIS), 39-46. https://doi.org/10.1109/HDIS60872.2023.10499557

Chicago Style (17th ed.) Citation

Zhou, Qi, et al. "Deep Learning Strategies for Addressing Anomalous Exposure in Image Processing: The FARDBUNet Approach." 2023 International Conference on High Performance Big Data and Intelligent Systems (HDIS) 6 Dec. 2023: 39-46. https://doi.org/10.1109/HDIS60872.2023.10499557.

MLA (9th ed.) Citation

Zhou, Qi, et al. "Deep Learning Strategies for Addressing Anomalous Exposure in Image Processing: The FARDBUNet Approach." 2023 International Conference on High Performance Big Data and Intelligent Systems (HDIS), 6 Dec. 2023, pp. 39-46, https://doi.org/10.1109/HDIS60872.2023.10499557.