Gao, H., Kuenzel, S., & Zhang, X. (2022). A Hybrid ConvLSTM-Based Anomaly Detection Approach for Combating Energy Theft. IEEE transactions on instrumentation and measurement, 71, 1-10. https://doi.org/10.1109/TIM.2022.3201569
Citace podle Chicago (17th ed.)Gao, Hong-Xin, Stefanie Kuenzel, a Xiao-Yu Zhang. "A Hybrid ConvLSTM-Based Anomaly Detection Approach for Combating Energy Theft." IEEE Transactions on Instrumentation and Measurement 71 (2022): 1-10. https://doi.org/10.1109/TIM.2022.3201569.
Citace podle MLA (9th ed.)Gao, Hong-Xin, et al. "A Hybrid ConvLSTM-Based Anomaly Detection Approach for Combating Energy Theft." IEEE Transactions on Instrumentation and Measurement, vol. 71, 2022, pp. 1-10, https://doi.org/10.1109/TIM.2022.3201569.
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