Name
Abstract | ||
|---|---|---|
In this paper, in order to solve various problems occurring in the workspace, a deep learning-based workspace identification module was designed, and the performance was analyzed through an experiment on the recognition accuracy according to the configuration of the training dataset and the number of training. The data model of the designed deep learning module is ResNetl8, and after setting up th... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICAIIC51459.2021.9415257 | 2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) |
Keywords | DocType | ISBN |
Deep learning,Training,Manufacturing industries,Performance evaluation,Employment,Input devices,Data models | Conference | 978-1-7281-7638-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeong-Su Kim | 1 | 0 | 0.34 |
| Dong Myung Lee | 2 | 0 | 1.01 |