Please use this identifier to cite or link to this item:
https://elib.psu.by/handle/123456789/30993Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Mäkiö, J. | - |
| dc.contributor.author | Glukhov, D. | - |
| dc.contributor.author | Bohush, R. | - |
| dc.contributor.author | Hlukhava, T. | - |
| dc.contributor.author | Zakharava, I. | - |
| dc.date.accessioned | 2022-04-26T12:01:47Z | - |
| dc.date.available | 2022-04-26T12:01:47Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.citation | Fuzzy Logic Approximation and Deep Learning Neural Network for Fish Concentration Maps / J. Mäkiö [et al] // Proceedings of the International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019). – Atlantis Press, 2019 – P. 484–488. | ru_RU |
| dc.identifier.uri | https://elib.psu.by/handle/123456789/30993 | - |
| dc.language.iso | ru | ru_RU |
| dc.publisher | Atlantis Press | ru_RU |
| dc.title | Fuzzy Logic Approximation and Deep Learning Neural Network for Fish Concentration Maps | ru_RU |
| dc.type | Article | ru_RU |
| dc.identifier.doi | 10.2991/icdtli-19.2019.84 | - |
| Appears in Collections: | Публикации в зарубежных изданиях Машинное обучение. Обработкой изображений и видео. Интеллектуальные системы. Информационная безопасность | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 484-488.pdf | 2.49 MB | Adobe PDF | View/Open |
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