Synthesis-guided unsupervised anomaly detection in industrial images with large language model-driven analysis

Neural Computing and Applications 2026 Open access

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Authors: Asim Niaz, Muhammad Umraiz, Syed Farhan Alam Zaidi, Farhan Akram, Kwang Nam Choi
DOI: 10.1007/s00521-025-11775-5
Cited by: 0
References: 52

Fields of Study & Subjects

Industrial Vision Systems and Defect Detection Anomaly Detection Techniques and Applications Infrastructure Maintenance and Monitoring

Publication details

Journal / source
Neural Computing and Applications
Volume
38
Issue
2
Publication date
1 January 2026
Language
EN