Causal inference-based matching networks time-series prediction method under small sample data: battery remaining useful life prediction as a case study
Data-driven machine learning models face challenges in accurately predicting remaining useful life in small-sample time-series datasets, primarily due to data scarcity and information leakage. Addressing these limitations, this study presents causal inference-based matching network, a novel framework synergizing causal...