Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/31341
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Giuliano A | - |
dc.contributor.author | Gadsden SA | - |
dc.contributor.author | Hilal W | - |
dc.contributor.author | Yawney J | - |
dc.date.accessioned | 2025-03-03T22:47:13Z | - |
dc.date.available | 2025-03-03T22:47:13Z | - |
dc.date.issued | 2024-04-03 | - |
dc.identifier.uri | http://hdl.handle.net/11375/31341 | - |
dc.subject | 46 Information and Computing Sciences | - |
dc.subject | 40 Engineering | - |
dc.subject | 4603 Computer Vision and Multimedia Computation | - |
dc.subject | 4604 Cybersecurity and Privacy | - |
dc.title | Convolutional variational autoencoders for secure lossy image compression in remote sensing | - |
dc.type | Article | - |
dc.date.updated | 2025-03-03T22:47:12Z | - |
dc.contributor.department | Mechanical Engineering | - |
dc.identifier.doi | https://doi.org/10.48550/arxiv.2404.03696 | - |
Appears in Collections: | Mechanical Engineering Publications |
Files in This Item:
File | Description | Size | Format | |
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179-130620H.pdf | Published version | 4.35 MB | Adobe PDF | View/Open |
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