# Development of an Improved Convolutional Neural Network for an Automated Face Based University Attendance System

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/development-of-an-improved-convolutional-neural-network-for-an-automated-face/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Olufemi S. Ojo,Mayowa O. Oyediran,Babatunde Joseph Bamgbade,Abidemi Emmanuel Adeniyi,Godwin Nse Ebong,Sunday Adeola Ajagbe |
| Citations | 22 |
| DOI | 10.55969/paradigmplus.v4n1a2 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://journals.itiud.org/index.php/paradigmplus/article/download/43/50 |
| OpenAlex ID | https://openalex.org/W4367366228 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Godwin Nse Ebong](https://scholariq.org/researchers/godwin-nse-ebong/)

## Paper journal

- [ParadigmPlus](https://scholariq.org/journals/paradigmplus/)

## Paper primary topic

- [Face recognition and analysis](https://scholariq.org/topics/face-recognition-and-analysis/)

## Paper topics

- [Face recognition and analysis](https://scholariq.org/topics/face-recognition-and-analysis/)
- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)

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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.