Liu, Y., Garg, S., Nie, J., Zhang, Y., Xiong, Z., Kang, J., . . . Engineering, S. o. C. S. a. (2022). Deep anomaly detection for time-series data in industrial IoT: A communication-efficient on-device federated learning approach.
استشهاد بنمط شيكاغوLiu, Yi, Sahil Garg, Jiangtian Nie, Yang Zhang, Zehui Xiong, Jiawen Kang, M. Shamim Hossain, و School of Computer Science and Engineering. Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-efficient On-device Federated Learning Approach. 2022.
MLA استشهادLiu, Yi, et al. Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-efficient On-device Federated Learning Approach. 2022.
تحذير: قد لا تكون هذه الاستشهادات دائما دقيقة بنسبة 100%.