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Lithology Identification via MSC-Transformer Network with Time-Frequency Feature Fusion.

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Title: Lithology Identification via MSC-Transformer Network with Time-Frequency Feature Fusion.
Authors: Xu, Shiyi1,2, Wang, Sheng1,2, wangsheng10@cdut.edu.cn, Bai, Jun1,2,3, Lai, Kun1,2, Zhang, Jie1,2, Wang, Qingfeng3
Source: Applied Sciences (2076-3417); Feb2026, Vol. 16 Issue 4, p1949, 24p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192035551
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Lithology Identification via MSC-Transformer Network with Time-Frequency Feature Fusion.
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  Data: <searchLink fieldCode="AU" term="%22Xu%2C+Shiyi%22">Xu, Shiyi</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Sheng%22">Wang, Sheng</searchLink><relatesTo>1,2</relatesTo>, <i>wangsheng10@cdut.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Bai%2C+Jun%22">Bai, Jun</searchLink><relatesTo>1,2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Lai%2C+Kun%22">Lai, Kun</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Jie%22">Zhang, Jie</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Qingfeng%22">Wang, Qingfeng</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Feb2026, Vol. 16 Issue 4, p1949, 24p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192035551
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      – Type: doi
        Value: 10.3390/app16041949
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 1949
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      – TitleFull: Lithology Identification via MSC-Transformer Network with Time-Frequency Feature Fusion.
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            NameFull: Xu, Shiyi
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            NameFull: Wang, Sheng
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            NameFull: Bai, Jun
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            NameFull: Zhang, Jie
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            – D: 15
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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              Value: 20763417
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              Value: 16
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