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A Study on the Automatic Generation of Social Content to Resource Waste Based on Deep Learning
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이영숙 | - |
| dc.date.accessioned | 2025-01-18T00:31:32Z | - |
| dc.date.available | 2025-01-18T00:31:32Z | - |
| dc.date.issued | 2024-12-11 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/57417 | - |
| dc.title | A Study on the Automatic Generation of Social Content to Resource Waste Based on Deep Learning | - |
| dc.type | Conference | - |
| dc.citation.startPage | 225 | - |
| dc.citation.endPage | 225 | - |
| dc.citation.conferenceName | NOLTA2024 IEICE 2024 International Symposium on Nonlinear Theory and Its Applications | - |
| dc.citation.conferencePlace | 베트남 | - |
| dc.citation.conferenceDate | 2024-12-03 ~ 2024-12-06 | - |
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Related Researcher
- Lee, Young Sook
- Research Institute for Image & Culture Content