Quality Anomaly Detection
Quality Anomaly Detection is a systematic methodological framework within defect detection that identifies deviations from defined quality standards in products or processes by distinguishing abnormal patterns indicative of non-conformities from normal operational behavior.
53
Publications
1.8K
Citations
182
Authors
89
Institutions
Publications per year
2017–2026
25
Parents
53
1–5 of 53
182
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89

University of Science and Technology Beijing
Beijing, China
3 h-index
13 publications
318 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
5 publications
281 citations
Tianjin University
Tianjin, China
2 h-index
5 publications
156 citations
Centre for Economic Policy Research
London, United Kingdom
1 h-index
1 publications
13 citations

Durban University of Technology
Durban, South Africa
1 h-index
1 publications
22 citations
China South Industries Group (China)
Beijing, China
1 h-index
2 publications
50 citations

Southeast University
Nanjing, China
1 h-index
2 publications
156 citations
ON Semiconductor (United States)
Phoenix, United States
1 h-index
1 publications
37 citations
1–8 of 89
5 publications · 405 citations
5
h-index
4 publications · 119 citations
4
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3 publications · 93 citations
3
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2 publications · 48 citations
2
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2 publications · 88 citations
2
h-index
1–5