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Deep Learning-Based Faulty Wood Detection with Area Attention

Year: 2025

Type: article

Abstract: Improving consumer satisfaction with the appearance and surface quality of wood-based products requires inspection methods that are both accurate and efficient. The adoption of artificial intelligence (AI) for surface evaluat... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.066506

Authors: Vinh Truong Hoang, Viet-Tuan Le, Nghia Dinh, Kiet Tran-Trung, Bay Nguyen Van, Ha Duong Thi Hong, Thien Ho Huong

Institution: Ho Chi Minh City Open University

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4412549423

FWCI: 1.005

Cites: 21

Cited by: 2

Related to: 10