# System Design for Sensing in Manufacturing to Apply AI through Hierarchical Abstraction Levels

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/system-design-for-sensing-in-manufacturing-to-apply-ai-through-hierarchical/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Georgios Sopidis,Michael Haslgrübler,Behrooz Azadi,Ouijdane Guiza,Martin Schobesberger,Bernhard Anzengruber-Tanase,Alois Ferscha |
| Citations | 2 |
| DOI | 10.3390/s24144508 |
| Fields | Computer Science,Health Professions,Psychology |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/24/14/4508/pdf?version=1720775196 |
| OpenAlex ID | https://openalex.org/W4400584009 |
| PMID | 39065907 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Behrooz Azadi](https://scholariq.org/researchers/behrooz-azadi/)

## Paper journal

- [Sensors](https://scholariq.org/journals/sensors/)

## Paper primary topic

- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)

## Paper topics

- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)
- [Human-Automation Interaction and Safety](https://scholariq.org/topics/human-automation-interaction-and-safety/)
- [Occupational Health and Safety Research](https://scholariq.org/topics/occupational-health-and-safety-research/)

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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.