# Maximizing steel slice defect detection: Integrating ResNet101 deep features with SVM via Bayesian optimization

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/maximizing-steel-slice-defect-detection-integrating-resnet101-deep-features-with/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Prabira Kumar Sethy,Laxminarayana Korada,Santi Kumari Behera,Akshay Shirole,Rajat Amat,Aziz Nanthaamornphong |
| Citations | 7 |
| DOI | 10.1016/j.sasc.2024.200170 |
| Fields | Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.sasc.2024.200170 |
| OpenAlex ID | https://openalex.org/W4404135112 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Rajat Amat](https://scholariq.org/researchers/rajat-amat/)

## Paper journal

- [Systems and Soft Computing](https://scholariq.org/journals/systems-and-soft-computing/)

## Paper primary topic

- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

## Paper topics

- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Non-Destructive Testing Techniques](https://scholariq.org/topics/non-destructive-testing-techniques/)
- [Infrastructure Maintenance and Monitoring](https://scholariq.org/topics/infrastructure-maintenance-and-monitoring/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.