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,...

詳細記述

書誌詳細

出版年:	Case Studies in Construction Materials
主要な著者:	Rana Ehtisham, Waqas Qayyum, Charles V. Camp, Vagelis Plevris, Junaid Mir, Qaiser-uz Zaman Khan, Afaq Ahmad
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2023-12-01
主題:	Wooden defects Defects Classification Pre-trained Models CNN
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2214509523007106