Abstract: This study presents a novel approach for diagnosing machine conditions using deep learning models applied to Gabor-transformed motor current signatures. The dataset comprised signals from ...
Abstract: In the real world, collecting time series data often encounters difficulties and uncertainties, leading to prevalent data missing issues. The time series imputation task aims to restore data ...
This manuscript explores the dynamic behaviors of Pol II and Pol III puncta that encompass the SL1 and 5S genes, following up on the authors' prior studies on ATTF-6. The authors show that ATTF-6 is ...