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    A physics and data dual-driven method for real-time fracturing pressure prediction by Xiaodong HU, Junyi LIU, Tianyu WANG, Fujian ZHOU, Xutao LU, Pukang YI, Chao CHEN

    Published 2024-11-01
    “…Results showed that compared to pure LSTM model, the wavelet fusion model of IPC and LSTM reduced the root mean square error (RMSE) and mean absolute error (MAE) by 37.87% and 15.29%, respectively, in wellhead pressure prediction for the next 60 seconds. …”
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    Long Short-Term Memory-Based Computerized Numerical Control Machining Center Failure Prediction Model by Jintak Choi, Zuobin Xiong, Kyungtae Kang

    Published 2025-03-01
    “…Using continuous learning based on long short-term memory (LSTM), the system enables anomaly detection, failure prediction, cause analysis, root cause identification, remaining useful life (RUL) prediction, and optimal maintenance timing decisions. …”
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