A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.

Abstract: Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile, and highly precise solution ...

Abstract: Accurate power transformer fault diagnosis is crucial for power system reliability, but traditional gas ratio rule- and expert experience-based methods suffer from strong subjectivity and ...