# Detection of flood disaster system based on IoT, big data and convolutional deep neural network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detection-of-flood-disaster-system-based-on-iot-big-data-and-convolutional-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | M. Anbarasan,BalaAnand Muthu,C. B. Sivaparthipan,Revathi Sundarasekar,Seifedine Kadry,Sujatha Krishnamoorthy,R. Dinesh Jackson Samuel,A. Antony Dasel |
| Citations | 220 |
| DOI | 10.1016/j.comcom.2019.11.022 |
| Fields | Computer Science,Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2991336573 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Seifedine Kadry](https://scholariq.org/researchers/seifedine-kadry/)

## Paper primary topic

- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-techniques/)

## Paper topics

- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-techniques/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Flood Risk Assessment and Management](https://scholariq.org/topics/flood-risk-assessment-and-management/)

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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.