# Inception V3-Based Deep Learning Approach forCrack Detection in Paintings

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/inception-v3-based-deep-learning-approach-forcrack-detection-in-paintings/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rajendra Patil,Govind Mohanlal Poddar,Deepak Yashwantrao Bhadane,Rahul Patil,S. R. Patil,Sunil Vikram Desale,Vishal D. Suryawanshi |
| Citations | 1 |
| DOI | 10.14419/4jfvmz41 |
| Fields | Engineering |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.sciencepubco.com/index.php/IJBAS/article/download/35037/18767 |
| OpenAlex ID | https://openalex.org/W4413774942 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Deepak Yashwantrao Bhadane](https://scholariq.org/researchers/deepak-yashwantrao-bhadane/)
- [Govind Mohanlal Poddar](https://scholariq.org/researchers/govind-mohanlal-poddar/)

## Paper journal

- [International Journal of Basic and Applied Sciences](https://scholariq.org/journals/international-journal-of-basic-and-applied-sciences/)

## 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/)
- [Infrastructure Maintenance and Monitoring](https://scholariq.org/topics/infrastructure-maintenance-and-monitoring/)

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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.