A5050855167- Rock Mechanics and Modeling
- Fluid Dynamics Simulations and Interactions
- High-Velocity Impact and Material Behavior
- Landslides and related hazards
- Graphite, nuclear technology, radiation studies
- Radiation Shielding Materials Analysis
- Geotechnical and Geomechanical Engineering
- Geomechanics and Mining Engineering
- Tunneling and Rock Mechanics
- Coal Properties and Utilization
- Geophysical Methods and Applications
- Geotechnical Engineering and Underground Structures
- Grouting, Rheology, and Soil Mechanics
- Fluid Dynamics and Heat Transfer
- Drilling and Well Engineering
- Hydrocarbon exploration and reservoir analysis
- Cellular and Composite Structures
- Geoscience and Mining Technology
- Tailings Management and Properties
- Face and Expression Recognition
- Energy Load and Power Forecasting
- Seismic Waves and Analysis
- Hydraulic Fracturing and Reservoir Analysis
- Advanced Computational Techniques and Applications
- Electric Power System Optimization
McGill University
2020-2024
Sun Yat-sen University
2024
Harbin Institute of Technology
2018-2024
Shanghai Tunnel Engineering (China)
2024
Hilong (China)
2024
Xinjiang University
2023
Tianjin University of Technology and Education
2023
Shanghai Dianji University
2023
Central South University
2010-2023
Hangzhou Institute of Applied Acoustics
2022
Abstract When the transmitted signal of active sonar is continuous up-sweep HFM and down-sweep HFM, because Doppler invariance, there will be two peaks after matched filtering, which used to estimate target range velocity. If moves slowly, are close together. In this case, velocity resolution reduced if sequential detection still utilized. To solve problem, an algorithm proposed based on analysis filter character HFM. Simulation shows that improves parameter estimation when using detection.
The magnitude and frequency of induced seismicity increase as mining excavation reaches greater depth, leading to the increasingly severe damage roadways caused by high-energy seismic waves. To comprehensively simulate dynamic loads, a synchrosqueezing transform empirical mode decomposition method was developed, which effectively decomposed raw wave signals into transverse longitudinal components. This novel produced more accurate results in terms velocity, displacement, rock yielding...
Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process collecting and labeling such can be expensive time-consuming. Self-supervised (SSL), subset unsupervised learning, aims learn discriminative features from unlabeled without relying on human-annotated labels. SSL has garnered significant attention recently, leading development numerous related algorithms. there is dearth comprehensive studies that...