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Hybrid connected attentional lightweight network for gangue intelligent segmentation in top-coal caving face.

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Bibliographic Details
Title: Hybrid connected attentional lightweight network for gangue intelligent segmentation in top-coal caving face.
Authors: Fu, Chengcai1, Lu, Fengli1, Wu, Fan1, Zhang, Guoying1, zgy@cumtb.edu.cn
Source: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 44 Issue 3, p5033-5044, 12p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Hybrid connected attentional lightweight network for gangue intelligent segmentation in top-coal caving face.
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  Data: <searchLink fieldCode="AU" term="%22Fu%2C+Chengcai%22">Fu, Chengcai</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Lu%2C+Fengli%22">Lu, Fengli</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wu%2C+Fan%22">Wu, Fan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Guoying%22">Zhang, Guoying</searchLink><relatesTo>1</relatesTo>, <i>zgy@cumtb.edu.cn</i>
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3233/JIFS-213506
    Languages:
      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 5033
    Titles:
      – TitleFull: Hybrid connected attentional lightweight network for gangue intelligent segmentation in top-coal caving face.
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            NameFull: Fu, Chengcai
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            NameFull: Lu, Fengli
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          Name:
            NameFull: Wu, Fan
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          Name:
            NameFull: Zhang, Guoying
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            – D: 01
              M: 03
              Text: 2023
              Type: published
              Y: 2023
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              Value: 44
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              Value: 3
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            – TitleFull: Journal of Intelligent & Fuzzy Systems
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