Global big data laboratory experiment, integrated with kernel-based algorithm with an improved nonlinear ensemble for compressive strength modeling

Global big data laboratory experiment, integrated with kernel-based algorithm with an improved nonlinear ensemble for compressive strength modeling

Abstract With the continuous clamor for a reduction in embodied carbon in cement, rapid solution to climate change, and reduction to resource depletion, studies into substitute binders become crucial. These cementitious binders can potentially lessen our reliance on cement as the only concrete binde...

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Bibliographic Details
Main Authors: Babatunde Abiodun Salami, Jamilu Usman, Afeez Gbadamosi, Salim Idris Malami, Sani I. Abba
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Blended concrete
Support vector regression
Robust linear regression
Machine learning
Ground granulated blast furnace slag
Online Access:https://doi.org/10.1038/s41598-024-58908-9
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