# SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sophia-an-event-based-iot-and-machine-learning-architecture-for-predictive/

## Facts

| Field | Value |
| --- | --- |
| Author Names | M. Calabrese,Martin Cimmino,Francesca Fiume,Martina Manfrin,Luca Romeo,Silvia Ceccacci,Marina Paolanti,Giuseppe Toscano,Giovanni Ciandrini,Alberto Carrotta,Maura Mengoni,Emanuele Frontoni,Dimos Kapetis |
| Citations | 148 |
| DOI | 10.3390/info11040202 |
| Fields | Engineering,Health Professions |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2078-2489/11/4/202/pdf |
| OpenAlex ID | https://openalex.org/W3015862971 |
| Type | article |
| Year | 2020 |

## Paper authors

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

## Paper primary topic

- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)

## Paper topics

- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)
- [Quality and Safety in Healthcare](https://scholariq.org/topics/quality-and-safety-in-healthcare/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)

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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.