# Highly interacting machining feature recognition via small sample learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/highly-interacting-machining-feature-recognition-via-small-sample-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Peizhi Shi,Qunfen Qi,Yuchu Qin,Paul J. Scott,Xiangqian Jiang |
| Citations | 38 |
| DOI | 10.1016/j.rcim.2021.102260 |
| Fields | Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S073658452100140X/pdf |
| OpenAlex ID | https://openalex.org/W3203548647 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Qunfen Qi](https://scholariq.org/researchers/qunfen-qi/)

## Paper journal

- [Robotics and Computer-Integrated Manufacturing](https://scholariq.org/journals/robotics-and-computer-integrated-manufacturing/)

## Paper primary topic

- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-and-optimization/)

## Paper topics

- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-and-optimization/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Welding Techniques and Residual Stresses](https://scholariq.org/topics/welding-techniques-and-residual-stresses/)

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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.