# Expert Systems

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/expert-systems/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 0266-4720 |
| ISSNs | 0266-4720,1468-0394 |
| OpenAlex ID | https://openalex.org/S72232612 |
| Publisher | Wiley |

## Journal papers

- [Automated COVID‐19 detection in chest X‐ray images using <scp>fine‐tuned</scp> deep learning architectures](https://scholariq.org/papers/automated-covid-19-detection-in-chest-x-ray-images-using-scp-fine-tuned-scp-deep/)
- [Data and domain knowledge dual‐driven artificial intelligence: Survey, applications, and challenges](https://scholariq.org/papers/data-and-domain-knowledge-dual-driven-artificial-intelligence-survey/)
- [<scp>SBMYv3</scp>: Improved <scp>MobYOLOv3</scp> a <scp>BAM</scp> attention‐based approach for obscene image and video detection](https://scholariq.org/papers/scp-sbmyv3-scp-improved-scp-mobyolov3-scp-a-scp-bam-scp-attention-based-approach/)
- [An improved binary grey wolf optimizer for constrained engineering design problems](https://scholariq.org/papers/an-improved-binary-grey-wolf-optimizer-for-constrained-engineering-design/)
- [<scp>ASYv3</scp>: Attention‐enabled pooling embedded Swin transformer‐based <scp>YOLOv3</scp> for obscenity detection](https://scholariq.org/papers/scp-asyv3-scp-attention-enabled-pooling-embedded-swin-transformer-based-scp/)
- [Improved minority attack detection in <scp>Intrusion Detection System</scp> using efficient feature selection algorithms](https://scholariq.org/papers/improved-minority-attack-detection-in-scp-intrusion-detection-system-scp-using/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.