To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.

Abstract: Energy optimization is a critical challenge in wireless sensor networks (WSNs) due to its direct impact on the network lifetime. This paper proposes the use of the K-means algorithm combined ...

Some friendships are built on a flimsy foundation. This woman was wondering why her friend had been acting weird whenever she talked about her other interests. When she confronted her K-pop-loving ...

Abstract: Crime hotspot detection has become increasingly critical for data-driven public safety initiatives and efficient law enforcement deployment. While K-means clustering remains a popular method ...