# End-to-end prediction of weld penetration: A deep learning and transfer learning based method

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/end-to-end-prediction-of-weld-penetration-a-deep-learning-and-transfer-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Wenhua Jiao,Qiyue Wang,Yongchao Cheng,Yuming Zhang |
| Citations | 147 |
| DOI | 10.1016/j.jmapro.2020.01.044 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3004669032 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Wenhua Jiao](https://scholariq.org/researchers/wenhua-jiao/)
- [Qiyue Wang](https://scholariq.org/researchers/qiyue-wang/)
- [Yuming Zhang](https://scholariq.org/researchers/yuming-zhang/)

## Paper primary topic

- [Welding Techniques and Residual Stresses](https://scholariq.org/topics/welding-techniques-and-residual-stresses/)

## Paper topics

- [Welding Techniques and Residual Stresses](https://scholariq.org/topics/welding-techniques-and-residual-stresses/)
- [Non-Destructive Testing Techniques](https://scholariq.org/topics/non-destructive-testing-techniques/)
- [Thermography and Photoacoustic Techniques](https://scholariq.org/topics/thermography-and-photoacoustic-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.