# A hybrid bio-inspired augmented with hyper-parameter deep learning model for brain tumor classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-hybrid-bio-inspired-augmented-with-hyper-parameter-deep-learning-model-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Morolake Oladayo Lawrence |
| Citations | 5 |
| DOI | 10.1186/s43067-025-00207-y |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://jesit.springeropen.com/counter/pdf/10.1186/s43067-025-00207-y |
| OpenAlex ID | https://openalex.org/W4411990972 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Morolake Oladayo Lawrence](https://scholariq.org/researchers/morolake-oladayo-lawrence/)

## Paper journal

- [Journal of Electrical Systems and Information Technology](https://scholariq.org/journals/journal-of-electrical-systems-and-information-technology/)

## Paper primary topic

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

## Paper topics

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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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.