Investigation of Issues in Data Anomaly Detection Using Deep-Learning- and Rule-Based Classifications for Long-Term Vibration Measurements
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Khan, I.U.; Jeong, S.; Sim, S.-H. Investigation of Issues in Data Anomaly Detection Using Deep-Learning- and Rule-Based Classifications for Long-Term Vibration Measurements. Appl. Sci. 2024, 14, 5476. https://doi.org/10.3390/app14135476
Khan IU, Jeong S, Sim S-H. Investigation of Issues in Data Anomaly Detection Using Deep-Learning- and Rule-Based Classifications for Long-Term Vibration Measurements. Applied Sciences. 2024; 14(13):5476. https://doi.org/10.3390/app14135476
Chicago/Turabian StyleKhan, Imdad Ullah, Seunghoo Jeong, and Sung-Han Sim. 2024. "Investigation of Issues in Data Anomaly Detection Using Deep-Learning- and Rule-Based Classifications for Long-Term Vibration Measurements" Applied Sciences 14, no. 13: 5476. https://doi.org/10.3390/app14135476