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A Robust Deep Learning Framework for Steganography in 1D and 2D Barcodes
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| Published in: | Electronics Letters |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030191288844291 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Electronics Letters |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:31084 |
| institution | FRELIP |
| journal_source_facet | Electronics Letters |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | A Robust Deep Learning Framework for Steganography in 1D and 2D Barcodes Electronics Technology & Engineering — Aerospace & Applied Tech Technology & Engineering |
| sub_discipline_display | Technology & Engineering — Aerospace & Applied Tech |
| sub_discipline_facet | Technology & Engineering — Aerospace & Applied Tech |
| subject_display | Electronics Technology & Engineering — Aerospace & Applied Tech Technology & Engineering Electronics Technology & Engineering — Aerospace & Applied Tech Technology & Engineering |
| subject_facet | Electronics Technology & Engineering — Aerospace & Applied Tech Technology & Engineering |
| title | A Robust Deep Learning Framework for Steganography in 1D and 2D Barcodes |
| title_auth | A Robust Deep Learning Framework for Steganography in 1D and 2D Barcodes |
| title_full | A Robust Deep Learning Framework for Steganography in 1D and 2D Barcodes |
| title_fullStr | A Robust Deep Learning Framework for Steganography in 1D and 2D Barcodes |
| title_full_unstemmed | A Robust Deep Learning Framework for Steganography in 1D and 2D Barcodes |
| title_short | A Robust Deep Learning Framework for Steganography in 1D and 2D Barcodes |
| title_sort | a robust deep learning framework for steganography in 1d and 2d barcodes |
| topic | Electronics Technology & Engineering — Aerospace & Applied Tech Technology & Engineering |
| url | https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ell2.70531?af=R |