# ADF: An Anomaly Detection Framework for Large-Scale PM2.5 Sensing Systems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/adf-an-anomaly-detection-framework-for-large-scale-pm2-5-sensing-systems/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ling‐Jyh Chen,Yao-Hua Ho,Hsin-Hung Hsieh,Shih‐Ting Huang,Hu-Cheng Lee,Sachit Mahajan |
| Citations | 131 |
| DOI | 10.1109/jiot.2017.2766085 |
| Fields | Computer Science,Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2766807000 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Shih‐Ting Huang](https://scholariq.org/researchers/shih-ting-huang/)

## Paper primary topic

- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)

## Paper topics

- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-techniques/)

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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.