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Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining
This paper introduces a novel spatiotemporal feature representation model designed to
address the limitations of traditional methods in multidimensional time series (MTS) analysis …
address the limitations of traditional methods in multidimensional time series (MTS) analysis …
[HTML][HTML] RUL Prediction of Rolling Bearings Based on Fruit Fly Optimization Algorithm Optimized CNN-LSTM Neural Network
J Shen, H Zhou, M **, Z **, Q Wang, Y Mu, Z Hong - Lubricants, 2025 - mdpi.com
Due to the complex changes in the physical and chemical properties of rolling bearings from
degradation to failure, most model-driven and data-driven methods generally suffer from …
degradation to failure, most model-driven and data-driven methods generally suffer from …
Accurate colorectal cancer detection using a random hinge exponential distribution coupled attention network on pathological images
Colorectal cancer (CRC) is one of the most common and deadly forms of cancer worldwide,
necessitating accurate and early detection to improve treatment outcomes. Traditional …
necessitating accurate and early detection to improve treatment outcomes. Traditional …
Remaining useful life prediction of pressure regulating shutoff valve based on feature fusion and bidirectional gated recurrent unit
Z Meng, J Zhu, L Yang, Y Yu, Y Huo… - … Science and Technology, 2024 - iopscience.iop.org
In the bleed air system of the ARJ21 aircraft, pressure regulating shutoff valve (PRSOV)
failures are common, and their failures can lead to disasters and economic losses …
failures are common, and their failures can lead to disasters and economic losses …