Information and Communication Technologies

TL;DR: Wang et al. as discussed by the authors proposed a new fault diagnosis model for rolling bearings based on a hybrid kernel support vector machine (SVM) and Bayesian optimization (BO), which used discrete Fourier transform (DFT) to extract fifteen features from vibration signals in the time and frequency domains of four bearing failure forms, which addressed the issue of ambiguous fault identification caused by their nonlinearity and nonstationarity.

TL;DR: This work is applying decision tree approach followed by subgraph isomorphism technique for design pattern detection for reliable design pattern mining in object oriented softwares.