# A Comparative Study and a New Industrial Platform for Decentralized Anomaly Detection Using Machine Learning Algorithms

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-comparative-study-and-a-new-industrial-platform-for-decentralized-anomaly/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Fabian Gerz,Tolga Renan Basturk,Julian Kirchhoff,Joachim Denker,Loui Al-Shrouf,Mohieddine Jelali |
| Citations | 9 |
| DOI | 10.1109/ijcnn55064.2022.9892939 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | https://zenodo.org/record/7898411 |
| OpenAlex ID | https://openalex.org/W4312941518 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Fabian Gerz](https://scholariq.org/researchers/fabian-gerz/)

## Paper journal

- [2022 International Joint Conference on Neural Networks (IJCNN)](https://scholariq.org/journals/2022-international-joint-conference-on-neural-networks-ijcnn/)

## 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/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Data Stream Mining Techniques](https://scholariq.org/topics/data-stream-mining-techniques/)

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