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most citedSupervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Prediction

23 citations · 23 across the 3 of their papers we have counts for

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cs.LG2026

PEFT-MuTS: A Multivariate Parameter-Efficient Fine-Tuning Framework for Remaining Useful Life Prediction based on Cross-domain Time Series Representation Model

En Fu, Yanyan Hu, Zengwang Jin +1

The application of data-driven remaining useful life (RUL) prediction has long been constrained by the availability of large amount of degradation data. Mainstream solutions such a…