Linked Publications
Add missing publication or edit citation shown. Enter the SCEC project ID to link publication.
|
- Chen, Z., Scott, C. P., Keating, D., Clarke, A., Das, J., & Arrowsmith, R. (2023). Quantifying and analysing rock trait distributions of rocky fault scarps using deep learning. Earth Surface Processes and Landforms, 48(6), 1234-1250. https://doi.org/10.1002/esp.5545. SCEC Contribution Number 11844
- Scott, T. R. (2020). Rock Traits from Machine Learning: Application to Rocky Fault Scarps (Arizona State University). SCEC Contribution Number 10776
- Chen, Z., Scott, T. R., Bearman, S., Anand, H., Keating, D., Scott, C. P., Arrowsmith, R., & Das, J. (2020, 08). Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning. Poster Presentation at IEEE/RSJ International Conference on Intelligent Robots and Systems. SCEC Contribution Number 10775
- Das, J., Arrowsmith, R., Chen, Z., Scott, T. R., Scott, C. P., & Keating, D. (2020, 08). Advancing earthquake science with robotics and AI. Oral Presentation at 2020 SCEC Annual Meeting. SCEC Contribution Number 10253
- Scott, T. R., Chen, Z., Scott, C. P., Das, J., & Arrowsmith, R. (2019, 08). Rock Traits from Machine Learning: applications to precariously balanced rocks and fault scarps in Southern California. Poster Presentation at 2019 SCEC Annual Meeting. SCEC Contribution Number 9712
|