# A Two-Stage Transfer Learning-Based Deep Learning Approach for Production Progress Prediction in IoT-Enabled Manufacturing

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-two-stage-transfer-learning-based-deep-learning-approach-for-production/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shaohua Huang,Yu Guo,Daoyuan Liu,Shanshan Zha,Weiguang Fang |
| Citations | 59 |
| DOI | 10.1109/jiot.2019.2940131 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2972874184 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Shaohua Huang](https://scholariq.org/researchers/shaohua-huang/)

## 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/)
- [Advanced machining processes and optimization](https://scholariq.org/topics/advanced-machining-processes-and-optimization/)

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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.