Yahyavi Niar M, Akbarzadeh MR (2024) Evaluating strength properties of Eco-friendly Seashell-Cont...

Prediction of California bearing ratio using hybrid regression models

W Wang, L Zhao, D Dong - Signal, Image and Video Processing, 2024 - Springer
CBR assesses the subgrade strength of road infrastructure, typically requiring time-
consuming laboratory testing. In this study, Machine Learning (ML) has been used to avoid …
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Machine learning and LSSVR model optimization for gasification process prediction

W Cong - Multiscale and Multidisciplinary Modeling, Experiments …, 2024 - Springer
Gasification stands as a transformative thermochemical process, ingeniously converting
carbon-rich substances like methane (CH4) and a spectrum of hydrocarbons, including …
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28-day compressive strength prediction utilizing a radial basis function model incorporating meta-heuristic algorithms

Y Wang, S Xu - Multiscale and Multidisciplinary Modeling, Experiments …, 2024 - Springer
The construction industry's swift manufacturing of building materials has played a pivotal
role in environmental degradation worldwide. Researchers are now directing more focus …
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Novel models based on support vector regression to predict the compressive strength of concrete with recycled aggregate

H Yao - Multiscale and Multidisciplinary Modeling, Experiments …, 2024 - Springer
Reusing recycled concrete aggregate (RCA) from destroyed structures has attracted the
attention of academics due to its potential to mitigate environmental deterioration caused by …
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The implementation of a least square support vector regression model for predicting the ultimate bearing capacity of rock-socketed piles

X Yang - Multiscale and Multidisciplinary Modeling, Experiments …, 2024 - Springer
The ultimate load-bearing capacity (Qu) of rock-socketed piles, drilled shafts, or piers is
contingent on various factors. Rock-socketed piles find widespread application in foundation …
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