# IoT Information Status Using Data Fusion and Feature Extraction Method

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/iot-information-status-using-data-fusion-and-feature-extraction-method/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. S. Saranya,N. Sabiyath Fatima |
| Citations | 6 |
| DOI | 10.32604/cmc.2022.019621 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.techscience.com/cmc/v70n1/44428/pdf |
| OpenAlex ID | https://openalex.org/W3197755365 |
| Type | article |
| Year | 2021 |

## Paper authors

- [N. Sabiyath Fatima](https://scholariq.org/researchers/n-sabiyath-fatima/)

## Paper journal

- [Computers, materials & continua/Computers, materials & continua (Print)](https://scholariq.org/journals/computers-materials-and-continua-computers-materials-and-continua-print/)

## Paper primary topic

- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)

## Paper topics

- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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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.