To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
Abstract: In this study, FCM and K-means clustering are in contrast to Fuzzy C Means (FCM), which initializes cluster centrist and calculates membership degrees for each data point, allowing for soft ...
Abstract: Disasters can disrupt critical infrastructure and communication networks, complicating the coordination and assistance efforts of emergency responders. Unmanned Aerial Vehicles (UAVs) are a ...
PCA and K-means clustering applied to Raman and PL imaging reveal structural defects in silicon wafers, enhancing understanding of optoelectronic performance.