# Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-based-design-support-system-for-the-prediction-of-heterogeneous/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Luca Romeo,Jelena Loncarski,Marina Paolanti,Gianluca Bocchini,Adriano Mancini,Emanuele Frontoni |
| Citations | 94 |
| DOI | 10.1016/j.eswa.2019.112869 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2967860686 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Marina Paolanti](https://scholariq.org/researchers/marina-paolanti/)

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## Paper primary topic

- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

## Paper topics

- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Digital Transformation in Industry](https://scholariq.org/topics/digital-transformation-in-industry/)
- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-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.