BDCNet: An effective method for extracting the borehole dispersion curves and obtaining formation P- and S-wave velocities
June 2025
This study introduces Borehole Dispersion Curves Network (BDCNet), a deep learning framework built on the DeepLabV3+ architecture, designed to automate the extraction and classification of borehole...
Using multi-regression machine learning to assess uncertainties of surface wave phase velocities derived from ambient noise
June 2025
With the increasing use of ambient seismic noise to investigate the crust and uppermost mantle structures, accurately estimating the uncertainties of surface wave phase velocities derived from noise...
Recovering missing regions of earth magnetic anomaly grid data (EMAG2) using RePaint based on diffusion model
June 2025
•We employed a diffusion-based model, RePaint, to recover the missing data in EMAG2.•A recovered complete version of EMAG2 has been released along with open-source code....
