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Integration of Machine Learning Models and Tiering Technique in Predicting the Compressive Strength of FRP-Strengthened Circular Concrete Columns.

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Title: Integration of Machine Learning Models and Tiering Technique in Predicting the Compressive Strength of FRP-Strengthened Circular Concrete Columns.
Authors: Pham, Anh Duc1, Truong, Quynh Chau1,2, Nguyen, Quang Trung1, Nguyen, Cong Luyen2, Nguyen, Thi Thao Nguyen1, Mai, Anh Duc1, maduc@dut.udn.vn
Source: Buildings (2075-5309); Jan2026, Vol. 16 Issue 1, p204, 28p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190787958
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PubType: Academic Journal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190787958
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        Value: 10.3390/buildings16010204
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        Text: English
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      – TitleFull: Integration of Machine Learning Models and Tiering Technique in Predicting the Compressive Strength of FRP-Strengthened Circular Concrete Columns.
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              Text: Jan2026
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              Y: 2026
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