Evaluating convolutional neural networks using residual blocks and global average pooling techniques for predicting sediment concentration.

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Title: Evaluating convolutional neural networks using residual blocks and global average pooling techniques for predicting sediment concentration.
Authors: Huang, Cheng-Chia1 (AUTHOR), Chang, Che-Cheng2 (AUTHOR) checchang@fcu.edu.tw, Chang, Chiao-Ming2 (AUTHOR)
Source: Scientific Reports. 10/9/2025, Vol. 15 Issue 1, p1-14. 14p.
Database: Academic Search Ultimate
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  Data: Evaluating convolutional neural networks using residual blocks and global average pooling techniques for predicting sediment concentration.
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 10/9/2025, Vol. 15 Issue 1, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188546431
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1038/s41598-025-19161-w
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      – Code: eng
        Text: English
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      – TitleFull: Evaluating convolutional neural networks using residual blocks and global average pooling techniques for predicting sediment concentration.
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            NameFull: Huang, Cheng-Chia
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            NameFull: Chang, Che-Cheng
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            NameFull: Chang, Chiao-Ming
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              Text: 10/9/2025
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              Y: 2025
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