Harnessing Convolutional Neural Networks for Automated Wind Turbine Blade Defect Detection
The shift towards renewable energy, particularly wind energy, is rapidly advancing globally, with Southeastern Europe and Croatia, in particular, experiencing a notable increase in wind turbine construction. The frequent exposure of wind turbine blades to environmental stressors and operational forc...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
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MDPI AG
2024-12-01
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| coleção: | Designs |
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| Acesso em linha: | https://www.mdpi.com/2411-9660/9/1/2 |
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