A5102394262- Advanced Vision and Imaging
- Seismology and Earthquake Studies
- Advanced Image Processing Techniques
- Rock Mechanics and Modeling
- Advanced Image and Video Retrieval Techniques
- Image Enhancement Techniques
- Earthquake Detection and Analysis
- Landslides and related hazards
- Optical measurement and interference techniques
- Image Processing Techniques and Applications
With the deep development of underground rock engineering, threat burst disasters is increasing. At present, identification and prediction mostly rely on experience field staff to determine critical value trend, there a lack efficient intelligent methods for utilization massive data. Therefore, this paper constructs signal recognition model based learning solve above problems. In paper, acoustic emission (AE) electromagnetic radiation (EMR) data site are first marked input into...
The failure degradation of deep tight sandstone and the propagation attenuation properties stress waves under disturbance loads are crucial for safe efficient exploitation resources construction underground engineering. This study conducts dynamic tests on shock impact loads. differences in energy characteristics, wave samples investigated. Additionally, strain transformation dissipation laws analyzed. characteristics time frequency domains explored, correlations distinctions disaster...
Intelligent early warning of rockburst hazards is critical for ensuring safe and efficient coal mining operations. The utilization monitoring techniques, such as microseismic (MS), acoustic emission (AE), electromagnetic radiation (EMR), has become standard practice dynamic in environments. However, the inherent complexity unpredictability signals generated by these systems present significant challenges. While application deep-learning methods gained traction field coal-rock disaster...