| dc.contributor.author | Liu, J. | ru |
| dc.contributor.author | Dang, Z. | ru |
| dc.contributor.author | Xiong, S. | ru |
| dc.coverage.spatial | Минск | ru |
| dc.date.accessioned | 2026-01-23T05:56:13Z | |
| dc.date.available | 2026-01-23T05:56:13Z | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Liu, J. Enhancing russian handwriting recognition VIA transfer learning and data augmentation with VGG-BiLSTM-CTC / J. Liu, Z. Dang, S. Xiong // Новые горизонты – 2025 : сборник материалов XII Белорусско-китайского молодежного инновационного форума, 27–28 ноября 2025 года / Белорусский национальный технический университет. – Минск : БНТУ, 2025. – Т. 1. – С. 91-92. | ru |
| dc.identifier.uri | https://rep.bntu.by/handle/data/163055 | |
| dc.description.abstract | The VGG-BiLSTM-CTC model has succeeded in many languages, yet Russian handwriting recognition is understudied despite its demand. This research adapts the model to Russian through transfer learning to address this gap. | ru |
| dc.language.iso | en | ru |
| dc.publisher | БНТУ | ru |
| dc.title | Enhancing russian handwriting recognition VIA transfer learning and data augmentation with VGG-BiLSTM-CTC | ru |
| dc.type | Working Paper | ru |
