The state-of-the-art in the application of artificial intelligence-based models for traffic noise prediction: a bibliographic overview.

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Title: The state-of-the-art in the application of artificial intelligence-based models for traffic noise prediction: a bibliographic overview.
Authors: Umar, Ibrahim Khalil1,2 (AUTHOR), Adamu, Musa3 (AUTHOR), Mostafa, Nour4 (AUTHOR), Riaz, Malik Sarmad5 (AUTHOR), Haruna, Sadi I.3,6 (AUTHOR), Hamza, Mukhtar Fatihu7 (AUTHOR), Ahmed, Omar Shabbir3 (AUTHOR), Azab, Marc4 (AUTHOR)
Source: Cogent Engineering. 2024, Vol. 11 Issue 1, p1-14. 14p.
Database: Academic Search Ultimate
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  Data: The state-of-the-art in the application of artificial intelligence-based models for traffic noise prediction: a bibliographic overview.
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  Data: <searchLink fieldCode="JN" term="%22Cogent+Engineering%22">Cogent Engineering</searchLink>. 2024, Vol. 11 Issue 1, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=181788655
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/23311916.2023.2297508
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      – Code: eng
        Text: English
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        PageCount: 14
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      – TitleFull: The state-of-the-art in the application of artificial intelligence-based models for traffic noise prediction: a bibliographic overview.
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            NameFull: Umar, Ibrahim Khalil
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            NameFull: Adamu, Musa
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              Text: 2024
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