Multi-Kernel Neural Network-based Visualization of Pipe Vibration Frequencies from Video Data
| dc.contributor.author | Hogeon Seo | |
| dc.contributor.author | Jin-Ho Park | |
| dc.contributor.author | Young-Chul Choi | |
| dc.date.accessioned | 2024-11-25T22:18:52Z | |
| dc.date.available | 2024-11-25T22:18:52Z | |
| dc.date.issued | 2024-03-03 | |
| dc.identifier.uri | https://www.lib.ncsu.edu/resolver/1840.20/44936 | |
| dc.publisher | IASMiRT | |
| dc.relation.ispartofseries | Division 12 - New Technologies (Additive Manufacturing, AI, Digital Twin, etc.) | |
| dc.relation.ispartofseries | Division 12-Tu.3.K - AI and Deep Learning Application (2) | |
| dc.relation.ispartofseries | 00 - SMiRT 27 - Yokohama, Japan. March 3-8, 2024 | |
| dc.title | Multi-Kernel Neural Network-based Visualization of Pipe Vibration Frequencies from Video Data | |
| dc.type | Conference Proceeding |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- Tu.3.K-02.pdf
- Size:
- 615.84 KB
- Format:
- Adobe Portable Document Format
