The Prediction and Dynamic Correction of Drifting Trajectory for Unmanned Maritime Equipment Based on Fully Connected Neural Network (FCNN) Embedding Model
At present, unmanned maritime equipment has become the main force in the implementation of marine exploration tasks. However, due to the complexity of the marine environment, equipment is susceptible to damage and loss. This is why achieving more effective search and rescue (SAR) of unmanned maritim...
保存先:
| 主要な著者: | , , , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2024-12-01
|
| シリーズ: | Journal of Marine Science and Engineering |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2077-1312/12/12/2262 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|