Data-Driven Anomaly Control Detection for Railroad Lines Using Sobel Filter and VGG-16 Model, Res-Net50, InceptionV3
Rail inspection is essential to ensure the safety and performance of the rail system. In rail inspection, object detection is an important task to locate and identify damage or obstructions on the rail. This research discusses the use of Sobel features on three convolutional neural network (CNN) arc...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Geuthee Institute
2023-05-01
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| coleção: | Journal Geuthee of Engineering and Energy |
| Assuntos: | |
| Acesso em linha: | https://joge.geutheeinstitute.com/index.php/jogee/article/view/17 |
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