Abstract: An improved DBNet-based detection method is proposed to address the detection challenges posed by background interference, texture breakage, and dense arrangements in the text of unearthed ...

Abstract: Clustering and labeling anomalous time series load data from extensive databases pose a significant challenge due to the close similarity and subtle deviations observed in each data point.