# Automatic Human Detection Using Reinforced Faster-RCNN for Electricity Conservation System

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automatic-human-detection-using-reinforced-faster-rcnn-for-electricity/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. Ushasukhanya,M. Karthikeyan |
| Citations | 10 |
| DOI | 10.32604/iasc.2022.022654 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://file.techscience.com/ueditor/files/iasc/TSP_IASC-32-2/TSP_IASC_22654/TSP_IASC_22654.pdf |
| OpenAlex ID | https://openalex.org/W4200173089 |
| Type | article |
| Year | 2021 |

## Paper authors

- [M. Karthikeyan](https://scholariq.org/researchers/m-karthikeyan/)

## Paper primary topic

- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)

## Paper topics

- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Image Enhancement Techniques](https://scholariq.org/topics/image-enhancement-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.