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

<p>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 ne...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Rana Ehtisham (17820980) (author)
مؤلفون آخرون:	Waqas Qayyum (17820983) (author), Charles V. Camp (17820986) (author), Vagelis Plevris (14158863) (author), Junaid Mir (17820989) (author), Qaiser-uz Zaman Khan (17820992) (author), Afaq Ahmad (5153747) (author)
منشور في:	2023
الموضوعات:	Engineering Civil engineering Materials engineering Information and computing sciences Computer vision and multimedia computation Machine learning Wooden defects Defects Classification Pre-trained Models CNN
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Classification of defects in wooden structures using pre-trained models of convolutional neural network

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