# Novel ACGAN-Based Framework Fault Detection Technique for Unbalanced Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/novel-acgan-based-framework-fault-detection-technique-for-unbalanced-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Haodong Wang,Jianhua Lyu,Linchao Chen,Baili Zhang |
| Citations | 2 |
| DOI | 10.1109/icaace61206.2024.10548869 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4399769227 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Jianhua Lyu](https://scholariq.org/researchers/jianhua-lyu/)

## Paper primary topic

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Paper topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Software System Performance and Reliability](https://scholariq.org/topics/software-system-performance-and-reliability/)

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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.