| DC Field | Value | Language |
|---|
| dc.contributor.author | Golovko, V. | - |
| dc.contributor.author | Mikhno, E. | - |
| dc.contributor.author | Mamyha, A. | - |
| dc.date.accessioned | 2021-11-04T08:50:08Z | - |
| dc.date.available | 2021-11-04T08:50:08Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.citation | Golovko, V. Neural Network Approach for Estimating the Level and Volume of Liquid in Transparent Containers / Golovko V., Mikhno E., Mamyha A. // Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) : Proceedings of the 15th International Conference, 21–24 Sept. 2021, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2021. – P. 56–60. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/45796 | - |
| dc.description.abstract | The main purpose of this paper is to represent and investigate a neural network approach for determining the volume of the container and the volume of an opaque liquid in a transparent bounded container. To achieve the purpose, we apply two models of neural networks, namely AlexNet and eXnet. We have prepared and created a training dataset. The results of experiments on determining the level and volume of liquid in transparent bounded containers are presented. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | UIIP NASB | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | conference proceedings | ru_RU |
| dc.subject | training dataset | ru_RU |
| dc.subject | deep neural network | ru_RU |
| dc.subject | container volume | ru_RU |
| dc.subject | liquid level | ru_RU |
| dc.subject | liquid volume | ru_RU |
| dc.title | Neural Network Approach for Estimating the Level and Volume of Liquid in Transparent Containers | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021)
|
