RELEVANCE (Relevance and Entropy-based Evaluation with Longitudinal Inversion Metrics) is a generative AI evaluation framework designed to automatically evaluate creative responses from large language ...

Positive and unlabeled (PU) learning addresses binary classification when only confirmed positive instances and a pool of unlabeled data are available. This paradigm combines elements of supervised ...

Abstract: Multivariate permutation entropy (MvPE) is an effective complexity measure method for multichannel signals, which has been widely used in bearing fault diagnosis. However, existing MvPE ...

Abstract: Bearing health monitoring (BHM) is vital in preventing unforeseen machinery shutdowns caused by frequent bearing failures. Within the BHM process, constructing health indicators takes center ...