Spectral clustering is an unsupervised machine learning algorithm that groups similar data
points into clusters. The method generally works by modeling pair-wise data points as input …

Reducing noise pollution in signals is of great significance in the field of signal detection. In
order to reduce the noise in the signal and improve the signal-to-noise ratio (SNR), this …

This article presents a comparison between different filtering methods based on
dimensionality reduction for pulses generated on particle detectors. This reduction has been …

In this work we propose a method for the determination of the impact point of muons in
scintillators using a novel type of self-organizative maps called Self-Equalizing Map (SEM) …

Currently, array acoustic logging data processing is mainly achieved by calculating only the
velocity variation of each component wave. This provides a little formation information; thus …

Rayleigh wave detection is a recently developed method for shallow seismic exploration.
Current Rayleigh wave data processing and interpretation methods can only provide the …