Effectively detecting code clones is essential for maintaining and evolving software systems.This paper introduces Brow Serum a novel approach that leverages minimally random kernel convolutional transform (MiniRocket) to represent source code for clone detection.Our objective is to explore the applicability of this cross-domain representation with

The accidents caused by human factors in coal mine accidents are mainly caused by misoperation caused by fatigue and inattention of underground operating personnel.The existing personnel fatigue detection method based on physiological signals or eye images has the problems of complex implementation, poor adaptability, low accuracy Body Brushes and

Additive manufacturing (AM) has undergone significant Brow Serum development over the past decades, resulting in vast amounts of data that carry valuable information.Numerous research studies have been conducted to extract insights from AM data and utilize it for optimizing various aspects such as the manufacturing process, supply chain, and real-t