Geological Literature
Architecture of the convolutional neural network suitable for the automatic identification of trace fossils to evaluate bioturbation intensity (HCG22-P04)(poster session)(abs.)
Kazuki Kikuchi, Hajime Naruse
| item | description |
|---|---|
| Title | Architecture of the convolutional neural network suitable for the automatic identification of trace fossils to evaluate bioturbation intensity (HCG22-P04)(poster session)(abs.) |
| Authors | Kazuki Kikuchi, Hajime Naruse |
| Data name | Abstracts, Japan Geoscience Union Meeting (online) |
| Volume | 2023 |
| Page | HCG22-P04 |
| Year | 2023 |
| Publisher | Japan Geoscience Union |
| Language | EN |
| GEOLIS URL | https://darc.gsj.jp/archives/detail?cls=geolis&pkey=300036099 |
| Link | |
| @id | https://gbank.gsj.jp/ld/resource/geolis/300036099 |