Classification of defects in wooden structures using pre-trained models of convolutional neural network

Wooden structures, over time, are challenged by different types of defects. Due to mechanical and weathering effects, these defects can occur in the form of cracks, live and dead knots, dampness, and others. Because of the risk of damage or complete failure, treatment of these defects is necessary,...

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Detalhes bibliográficos

Principais autores:	Rana Ehtisham, Waqas Qayyum, Charles V. Camp, Vagelis Plevris, Junaid Mir, Qaiser-uz Zaman Khan, Afaq Ahmad
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2023-12-01
coleção:	Case Studies in Construction Materials
Assuntos:	Wooden defects Defects Classification Pre-trained Models CNN
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2214509523007106
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