Work

DOC-DICAM: Domain Aware One Class Defect Identification in Composite Aerostructure Material

Year: 2024

Type: conference-paper

Source: International Conference on Machine Learning and Applications

DOI: 10.1109/icmla61862.2024.00157

Authors: Austin Yunker, Rajkumar Kettimuthu, Zachary Kral

Institutions: Argonne National Laboratory, Spirit AeroSystems (United States)

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: U.S. Department of Energy

Award: FRAMEWORK AND TOOL FOR ARTIFICIAL INTELLIGENCE & MACHINE LEARNING ENABLED AUTOMATED NON-DESTRUCTIVE INSPECTION OF COMPOSITE AEROSTRUCTURES MANUFACTURING

OpenAlex ID: W4408146270

FWCI:

Cites: 14

Cited by:

Related to: 10