Document Analysis and Recognition - ICDAR 2023
Material type:
Computer fileSeries: Lecture Notes in Computer SciencePublication details: Springer; 2023Edition: 1st ed. 2023ISBN: - 9783031058876
| Item type | Home library | Collection | Status | Barcode | |
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E-BOOKS
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EBOOKS-SPRINGER | PROCEEDINGS | Not for loan | EBK22767 |
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