Zhang, F.; Guo, J.; Yuan, F.; Qiu, Y.; Wang, P.; Cheng, F.; Gu, Y.
Enhancement Methods of Hydropower Unit Monitoring Data Quality Based on the Hierarchical Density-Based Spatial Clustering of Applications with a Noise–Wasserstein Slim Generative Adversarial Imputation Network with a Gradient Penalty. Sensors 2024, 24, 118.
https://doi.org/10.3390/s24010118
AMA Style
Zhang F, Guo J, Yuan F, Qiu Y, Wang P, Cheng F, Gu Y.
Enhancement Methods of Hydropower Unit Monitoring Data Quality Based on the Hierarchical Density-Based Spatial Clustering of Applications with a Noise–Wasserstein Slim Generative Adversarial Imputation Network with a Gradient Penalty. Sensors. 2024; 24(1):118.
https://doi.org/10.3390/s24010118
Chicago/Turabian Style
Zhang, Fangqing, Jiang Guo, Fang Yuan, Yuanfeng Qiu, Pei Wang, Fangjuan Cheng, and Yifeng Gu.
2024. "Enhancement Methods of Hydropower Unit Monitoring Data Quality Based on the Hierarchical Density-Based Spatial Clustering of Applications with a Noise–Wasserstein Slim Generative Adversarial Imputation Network with a Gradient Penalty" Sensors 24, no. 1: 118.
https://doi.org/10.3390/s24010118
APA Style
Zhang, F., Guo, J., Yuan, F., Qiu, Y., Wang, P., Cheng, F., & Gu, Y.
(2024). Enhancement Methods of Hydropower Unit Monitoring Data Quality Based on the Hierarchical Density-Based Spatial Clustering of Applications with a Noise–Wasserstein Slim Generative Adversarial Imputation Network with a Gradient Penalty. Sensors, 24(1), 118.
https://doi.org/10.3390/s24010118
