# Computer Science Review

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/computer-science-review/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 1574-0137 |
| ISSNs | 1574-0137,1876-7745 |
| OpenAlex ID | https://openalex.org/S73121659 |
| Publisher | Elsevier BV |

## Journal papers

- [Big data and IoT-based applications in smart environments: A systematic review](https://scholariq.org/papers/big-data-and-iot-based-applications-in-smart-environments-a-systematic-review/)
- [A review of attack graph and attack tree visual syntax in cyber security](https://scholariq.org/papers/a-review-of-attack-graph-and-attack-tree-visual-syntax-in-cyber-security/)
- [Deep learning for unmanned aerial vehicles detection: A review](https://scholariq.org/papers/deep-learning-for-unmanned-aerial-vehicles-detection-a-review/)
- [Deep learning for intelligent demand response and smart grids: A comprehensive survey](https://scholariq.org/papers/deep-learning-for-intelligent-demand-response-and-smart-grids-a-comprehensive/)
- [Multidisciplinary Pattern Recognition applications: A review](https://scholariq.org/papers/multidisciplinary-pattern-recognition-applications-a-review/)
- [A survey of android application and malware hardening](https://scholariq.org/papers/a-survey-of-android-application-and-malware-hardening/)

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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.