Analyzing seismic data in a timely manner is essential for potential eruption forecasting and
early warning in volcanology. Here, we demonstrate that unsupervised machine learning …

The Earth, in large portions, is covered in oceans, sediments, and glaciers. High‐resolution
body wave imaging in such environments often suffers from severe reverberations, that is …

Records from ocean bottom seismometers (OBSs) are highly contaminated by noise, which
is much stronger compared to data from most land stations, especially on the horizontal …

Recorded seismic signals are of fundamental importance in earthquake engineering,
serving as vital data for analyzing and comprehending various ground motion parameters …

Volcanic tremor is a semi‐continuous seismic and/or acoustic signal that occurs at time
scales ranging from seconds to years, with variable amplitudes and spectral features …

Digital music has become a hot spot with the rapid development of network technology and
digital audio technology. The general public is increasingly interested in music similarity …

Recent advances in artificial intelligence have enhanced the detection and identification of
transient low-amplitude signals across the entire frequency spectrum, shedding light on …

The amount of multimedia digital audio in networks has increased sharply with the rapid
development of multimedia technology. The data carried by multimedia digital audio is …

With the popularity of music database, the traditional classification based on text information
such as music name and artist can no longer meet people's needs. Driven by big data, this …