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Deep Learning-Based Anomaly Detection for Laser-Fused Metal Components Using Pyrometric Data

Year: 2025

Type: article

Source: Journal of Manufacturing Science and Engineering

DOI: 10.1115/1.4070270

Authors: Vipul Bansal, Panayiotis Kousoulas, Shiyu Zhou, Y. B. Guo

Institutions: University of Wisconsin–Madison, Rutgers, The State University of New Jersey

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: Directorate for Engineering

Award: G1455515054

OpenAlex ID: W4415624133

FWCI:

Cites: 27

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