As a general and rigid mathematical tool, wavelet theory has found many applications and is
constantly develo**. This article reviews the development history of wavelet theory, from …

This work aims to determine the most suitable technique for dermoscopy image
augmentation to improve the performance of lesion classifications. Also, a new …

Unsupervised feature learning from the raw vibration data is a great challenge for rolling
bearing intelligent fault diagnosis. In this paper, a novel method called deep wavelet auto …

Cartesian genetic programming, a well-established method of genetic programming, is
approximately 20 years old. It represents solutions to computational problems as graphs. Its …

Determining the optimal number of hidden nodes and their proper initial locations are
essentially crucial before the wavelet neural networks (WNNs) start their learning process. In …

The condition monitoring of electric locomotive has attracted more and more attention due to
its significance for improving the security, reliability and automation level. In this paper, a …

The diagnosis of Parkinson's disease (PD) is important in neurological pathology for
appropriate medical therapy. Algorithms based on decision tree induction (DTI) have been …

The piston seal wear in hydraulic cylinder is one of the main factors that give rise to an
internal leakage. This paper focuses on diagnosing piston seal wear and subsequent …

Skin lesion segmentation is the essential step in automated computer-aided diagnosis of
malignant melanoma. However, this task might be challenging when there are variations in …

Wavelet Neural Networks are a combination of neural networks and wavelets and have
been mostly used in the area of time-series prediction and control. Recently, Evolutionary …