A naukri.com initiative
Arxiv
1d
259
Image Credit: Arxiv
SVInvNet: A Densely Connected Encoder-Decoder Architecture for Seismic Velocity Inversion
- Researchers have developed a deep learning-based approach, SVInvNet, for seismic velocity inversion.
- SVInvNet employs a novel architecture with a multi-connection encoder-decoder structure enhanced with dense blocks.
- The model effectively processes time series data and addresses non-linear seismic velocity inversion challenges.
- Despite having fewer parameters, SVInvNet outperforms the baseline model in terms of performance.
Read Full Article
15 Likes
For uninterrupted reading, download the app