# Recognition of human actions using CNN-GWO: a novel modeling of CNN for enhancement of classification performance

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/recognition-of-human-actions-using-cnn-gwo-a-novel-modeling-of-cnn-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | N. Kumaran,A. Vadivel,S. Saravana Kumar |
| Citations | 33 |
| DOI | 10.1007/s11042-017-5591-z |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2788558876 |
| Type | article |
| Year | 2018 |

## Paper authors

- [A. Vadivel](https://scholariq.org/researchers/a-vadivel/)

## Paper primary topic

- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)

## Paper topics

- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-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.