… Moreover, Wavelet Transform (WT) algorithms are successful tools for extracting robust
features because of their suitability for capturing transient events such as spikes and sharp …

… A novel framework of FAWT based LEE and fDistEn is proposed in this work to realize
automatic detection of F and NF EEG signals. Experimental results demonstrate that the maximal …

… ICA) and wavelet transform combination … wavelet ICA (WICA) using fuzzy kernel support
vector machine (FKSVM) is proposed for removing and classifying the EEG artifacts automatically…

… is an important prerequisite step for automatic detection of lung nodules in CAD systems. In
… combining wavelet transform and morphological operations to automatically segment lungs …

… Accordingly, automatic diagnosis of epileptic seizures in patients … the automatic detection
of epileptic seizures has been a major breakthrough over the past two decades. The automatic …

… In the paper, we propose an automatic ECG classification method based on Continuous
Wavelet Transform (CWT) and Convolutional Neural Network (CNN). CWT is used to …

… wavelet transform, which is specifically designed to detect R-… Finally, the discrete wavelet
transform is applied to obtain the … Jacquir, “Automatic detection of P, QRS and T patterns in 12 …

… that the proposed DWAE model can facilitate the automatic detection of brain tumors. …
wavelet transforms such as discrete wavelet transform (DWT) and stationary wavelet transforms (…

… [12] proposed two machine learning methods to automatically detect the wheel cracks by a
pretraining artificial neural network (ANN) with convolutional layers on 2-D representations of …

… In the case of wavelet transform and Hilbert-Huang transform, … ; then a classifier can be trained
for automatic fault detection. … this work aims to automatically detect wheel flats through the …