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An interval prediction system for track irregularity after tamping based on multi‐module machine learning and pointwise scaling approach.

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Title: An interval prediction system for track irregularity after tamping based on multi‐module machine learning and pointwise scaling approach.
Authors: Zhang, Yuxiao1, Shi, Jin1, jshi@bjtu.edu.cn, Varandas, José Nuno2, jnsf@fct.unl.pt, Ding, Youkang3
Source: Computer-Aided Civil & Infrastructure Engineering; 11/14/2025, Vol. 40 Issue 27, p4797-4823, 27p
Database: Applied Science & Technology Source
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Header DbId: aci
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An: 189330110
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PubType: Academic Journal
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  Data: An interval prediction system for track irregularity after tamping based on multi‐module machine learning and pointwise scaling approach.
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  Data: <searchLink fieldCode="JN" term="%22Computer-Aided+Civil+%26+Infrastructure+Engineering%22">Computer-Aided Civil & Infrastructure Engineering</searchLink>; 11/14/2025, Vol. 40 Issue 27, p4797-4823, 27p
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        Value: 10.1111/mice.13504
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        Text: English
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              Text: 11/14/2025
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              Y: 2025
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