… To improve the defect identification of eddy current detection signals for narrow lap welds,
we propose a method, which combines continuous wavelet transform (CWT) with …

… Wavelets transforms have been proven to be an excellent tool for analyzing non-stationary …
by to detect, identify and classify the different types of arrhythmia ECG signals, automatically. …

… To achieve this, we tested different machine learning algorithms on the EEG signals features
extracted by using discrete wavelet transform. Our tests on the real-world dataset, recorded …

… of QRS detection is limited by the presence of variety of noises and morphologies. A high
performance QRS complex detection scheme based on the tunable-Q wavelet transform (TQWT…

… Fourier transform is unstable to high-frequency deformations [12]. Wavelet transforms have
… of WST-based features to accurately and automatically detect alcoholism based on EEG. As …

… We identify the studies on automatic labeling algorithm should be our future works. Third,
the parameter setting of the used CNN model needs further optimization. The current CNN …

… wavelet transform (DWT), empirical mode decomposition (EMD), Q-wavelet transformation,
Hilbert-Huang transform … Currently, automatic epilepsy detection can be divided into two types…

… that can be detected by traditional protection methods [9]. Therefore, it is necessary to study
a fault data analytics method that can automatically and accurately detect HIFs under various …

… wavelets transform (FAWT) based machine learning models are proposed for automated
alcoholism detection… into approximate and detailed wavelet coefficients using FAWT. The …

… On the other hand, machine learning (ML) approaches are also widely employed for
DDoS attack detection for SDN. Automatically generating the decision boundaries (thresholds), …