# Studies in autonomic, data-driven and industrial computing

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/studies-in-autonomic-data-driven-and-industrial-computing/

## Facts

| Field | Value |
| --- | --- |
| Citations | 784 |
| h-index | 10 |
| Open Access | false |
| ISSN-L | 2730-6437 |
| ISSNs | 2730-6437,2730-6445 |
| OpenAlex ID | https://openalex.org/S4210182032 |
| Publisher | Springer Nature |
| Works | 463 |

## Journal papers

- [A Hybrid Quantum Machine Learning for the Prediction of Protein Folding](https://scholariq.org/papers/a-hybrid-quantum-machine-learning-for-the-prediction-of-protein-folding/)

## Journal top topics

Showing 8 of 25.

- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)
- [Cloud Computing and Resource Management](https://scholariq.org/topics/cloud-computing-and-resource-management/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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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.