# PeerJ Computer Science

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

## Facts

| Field | Value |
| --- | --- |
| Open Access | true |
| ISSN-L | 2376-5992 |
| ISSNs | 2376-5992 |
| OpenAlex ID | https://openalex.org/S4210178049 |
| Publisher | PeerJ, Inc. |

## Journal papers

- [Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease](https://scholariq.org/papers/deep-learning-based-respiratory-sound-analysis-for-detection-of-chronic/)
- [Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks](https://scholariq.org/papers/adjusting-eye-aspect-ratio-for-strong-eye-blink-detection-based-on-facial/)
- [AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays](https://scholariq.org/papers/ai-driven-deep-cnn-approach-for-multi-label-pathology-classification-using-chest/)
- [Advanced methods for missing values imputation based on similarity learning](https://scholariq.org/papers/advanced-methods-for-missing-values-imputation-based-on-similarity-learning/)
- [A comprehensive survey of techniques for developing an Arabic question answering system](https://scholariq.org/papers/a-comprehensive-survey-of-techniques-for-developing-an-arabic-question-answering/)
- [Deep learning-driven dyslexia detection model using multi-modality data](https://scholariq.org/papers/deep-learning-driven-dyslexia-detection-model-using-multi-modality-data/)
- [Multi-objective federated learning traffic prediction in vehicular network for intelligent transportation system](https://scholariq.org/papers/multi-objective-federated-learning-traffic-prediction-in-vehicular-network-for/)
- [A user task design notation for improved software design](https://scholariq.org/papers/a-user-task-design-notation-for-improved-software-design/)

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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.