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

PEFT-MuTS: A Multivariate Parameter-Efficient Fine-Tuning Framework for Remaining Useful Life Prediction based on Cross-domain Time Series Representation Model explores Develop a tool for efficient RUL prediction using few-shot learning and cross-domain time series data.. Commercial viability score: 6/10 in Predictive Maintenance AI.