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Ano-SuPs: Multisize Anomaly Detection for Manufactured Products by Identifying Suspected Patches via Vision Transformer.

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Title: Ano-SuPs: Multisize Anomaly Detection for Manufactured Products by Identifying Suspected Patches via Vision Transformer.
Authors: Xu, Hao1 (AUTHOR) hxu726@connect.hkust-gz.edu.cn, Du, Juan2 (AUTHOR) juandu@hkust-gz.edu.cn, Wang, Andi3 (AUTHOR) andi.wang@wisc.edu, Chen, Yingcong4 (AUTHOR) yingcongchen@ust.hk
Source: INFORMS Journal on Data Science. Jun2026, p1. 21p.
Database: Business Source Ultimate
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An: 194650727
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PubType: Academic Journal
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  Data: Ano-SuPs: Multisize Anomaly Detection for Manufactured Products by Identifying Suspected Patches via Vision Transformer.
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  Data: <searchLink fieldCode="AR" term="%22Xu%2C+Hao%22">Xu, Hao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hxu726@connect.hkust-gz.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Du%2C+Juan%22">Du, Juan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> juandu@hkust-gz.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Andi%22">Wang, Andi</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> andi.wang@wisc.edu</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Yingcong%22">Chen, Yingcong</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> yingcongchen@ust.hk</i>
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  Data: <searchLink fieldCode="JN" term="%22INFORMS+Journal+on+Data+Science%22">INFORMS Journal on Data Science</searchLink>. Jun2026, p1. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=194650727
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1287/ijds.2024.0058
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      – Code: eng
        Text: English
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        PageCount: 21
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      – TitleFull: Ano-SuPs: Multisize Anomaly Detection for Manufactured Products by Identifying Suspected Patches via Vision Transformer.
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            NameFull: Xu, Hao
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            NameFull: Du, Juan
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            NameFull: Wang, Andi
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            – D: 19
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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            – TitleFull: INFORMS Journal on Data Science
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