Please use this identifier to cite or link to this item:
https://thuvienso.tnut.edu.vn/handle/123456789/923Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yunlu Maa , Jianqin Zheng | - |
| dc.date.accessioned | 2024-01-25T08:20:32Z | - |
| dc.date.available | 2024-01-25T08:20:32Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.uri | https://thuvienso.tnut.edu.vn/handle/123456789/923 | - |
| dc.language.iso | en | en |
| dc.publisher | Czech Republic c School of Civil Engineering, Southeast University, | en |
| dc.subject | Theory-guided neural network method | en |
| dc.subject | Predicting burst pressure of corroded pipelines | en |
| dc.title | Deeppipe: Theory-guided neural network method for predicting burst pressure of corroded pipelines | en |
| dc.type | khoahoc | en |
| Appears in Collections: | Khoa học Công nghệ 2022 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Deeppipe Theory-guided neural network method f.pdf | 7.34 MB | Adobe PDF | View/Open |
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