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AI Techniques for Anomaly Detection in Polymer-Based 3D Printing: A Review

Year: 2025

Type: conference-paper

Source: International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

DOI: 10.1109/acdsa65407.2025.11166574

Authors: Layth Jayatwa, Mohammed Mabrok, Dong Suk Han

Institution: Qatar University

Language: English

Topic: Additive Manufacturing and 3D Printing Technologies

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4414459306

FWCI: 3.51

Cites: 29

Cited by: 2

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