Remote sensing is mainly used to investigate sites of dams, bridges, and pipelines to locate
construction materials and provide detailed geographic information. In remote sensing …

In the modern manufacturing industry, mechanical equipment plays a crucial role.
Equipment working in harsh environments for a long time is more likely to break down …

Lung disease is a most common disease all over the world. A numerous feature extraction
with classification models were discussed previously about the lung disease, but those …

To extract more distinguishing features of ships, slope entropy (SloE) is introduced into
underwater acoustic signal processing as a new feature to analyze ship-radiated noise …

To promote the effect of variational mode decomposition (VMD) and further enhance the
recognition performances of bearing fault signals, genetic algorithm (GA) is applied to …

Fuzzy dispersion entropy (FuzzDE) is a very recently proposed non-linear dynamical
indicator, which combines the advantages of both dispersion entropy (DE) and fuzzy entropy …

Feature extraction of underwater acoustic signal (UAS) plays an important role in the
analysis, classification and detection of UAS. It can extract key information in the signal, help …

The recently proposed fluctuation-based dispersion entropy (FDE) can distinguish various
physiological states of biomedical time series, and is usually used in the field of …

The working condition of micro-turbine blades is very harsh, which is easy to cause blade
faults such as fouling, cracks, and fractures. Therefore, it is of great significance to accurately …

The feature extraction of marine vessel-radiated noise (MVRN) under the complex ocean
background is explored. To this end, a hybrid approach is presented based on the analysis …