# A deep learning framework based on improved self‐supervised learning for ground‐penetrating radar tunnel lining inspection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-learning-framework-based-on-improved-self-supervised-learning-for-ground/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jian Huang,Xi Yang,Feng Zhou,Xiaofeng Li,Bin Zhou,Song Lu,Sergey Ivashov,Iraklis Giannakis,Fan‐Nian Kong,Evert Slob |
| Citations | 71 |
| DOI | 10.1111/mice.13042 |
| Fields | Engineering |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/mice.13042 |
| OpenAlex ID | https://openalex.org/W4377100655 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Xi Yang](https://scholariq.org/researchers/xi-yang/)

## Paper primary topic

- [Geophysical Methods and Applications](https://scholariq.org/topics/geophysical-methods-and-applications/)

## Paper topics

- [Geophysical Methods and Applications](https://scholariq.org/topics/geophysical-methods-and-applications/)
- [Infrastructure Maintenance and Monitoring](https://scholariq.org/topics/infrastructure-maintenance-and-monitoring/)
- [Geotechnical Engineering and Underground Structures](https://scholariq.org/topics/geotechnical-engineering-and-underground-structures/)

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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.