The characteristics of rock instability precursors and the principal stress direction are very
crucial for the prevention of geological disasters. This study investigated the qualitative …

Microseismic event identification is of great significance for enhancing our understanding of
underground phenomena and ensuring geological safety. This paper employs a literature …

Landslide susceptibility assessment is considered the first step in landslide risk assessment,
but current studies mostly rely on GIS platforms or other software for data preprocessing. The …

As microseismic monitoring technology gains widespread application in mine risk pre-
warning, the demand for automatic data processing has become increasingly evident. One …

In microseismic monitoring, various types of vibration events are often collected. Realizing
the automatic identification of microseismic events in many suspected events is the basis of …

As a refined finite element model takes much effort to build and tune to simulate the building
structure's response under seismic effects, many rapid estimation methods were proposed to …

Effective microseismic event identification and classification form the bedrock of data
analysis in microseismic monitoring systems, facilitating real-time source location, rockburst …

Discrimination of various microseismic (MS) events induced by blasting and mining in coal
mines is significant for the evaluation and forecasting of rock bursts. In this paper, multifractal …

We study the problem of discrimination between earthquakes and explosions on the basis of
seismic signals detected at teleseismic distances (over 2000 km). Most work in the field of …