Innovative compressive strength prediction for recycled aggregate/concrete using K-nearest neighbors and meta-heuristic optimization approaches
M Duan - Journal of Engineering and Applied Science, 2024 - Springer
This paper presents a groundbreaking method for predicting the compressive strength (F c)
of recycled aggregate concrete (RAC) through the application of K-nearest neighbors (KNN) …
of recycled aggregate concrete (RAC) through the application of K-nearest neighbors (KNN) …
Prediction of unconfined compressive strength of stabilized sand using machine learning methods
Q Zhao, Y Shi - Indian Geotechnical Journal, 2024 - Springer
This article introduces a novel method using the K-nearest neighbors (KNN) model to predict
the unconfined compressive strength (UCS) of soil-stabilizer combinations. To ensure …
the unconfined compressive strength (UCS) of soil-stabilizer combinations. To ensure …
A Machine Learning Led Investigation Predicting the Thermos-mechanical Properties of Novel Waste-based Composite in Construction
The study explores the potential of machine learning (ML) in predicting the thermal and
mechanical properties of earth-based composites reinforced with natural Borassus fruit fiber …
mechanical properties of earth-based composites reinforced with natural Borassus fruit fiber …
Development of a radial basis neural network for the prediction of the compressive strength of high-performance concrete
HP Zhang, XY Gu, FJ Zhang, LM Zhang - Multiscale and Multidisciplinary …, 2024 - Springer
Concrete is a crucial component in construction projects, and engineers have been striving
to improve its performance. Estimating the compressive strength, a critical feature of …
to improve its performance. Estimating the compressive strength, a critical feature of …
Hybrid neuro-fuzzy models for assessing the optimum moisture content of lime cement-treated soil
L Yu, X Cai, J Li - Multiscale and Multidisciplinary Modeling, Experiments …, 2024 - Springer
This study explores the application of machine learning (ML) techniques to predict the
optimum moisture content (OMC) of soil-stabilizer combinations. OMC represents the …
optimum moisture content (OMC) of soil-stabilizer combinations. OMC represents the …
Novel prediction of unconfined compressive strength with least square support vector regression coupled with meta-heuristic optimizers
X Wu, Q Shen - Multiscale and Multidisciplinary Modeling, Experiments …, 2024 - Springer
This article presents a unique approach employing Least Square Support Vector
Regression (LSSVR) analysis to anticipate the soil-stabilizer compounds' Unconfined …
Regression (LSSVR) analysis to anticipate the soil-stabilizer compounds' Unconfined …
On the Use of Machine Learning Technique to Appraise Thermal Properties of Novel Earthen Composite for Sustainable Housing in Sub-Saharan Africa
Earthen based bio-composite reinforced with agricultural waste represent a very important
alternative for eco-friendly sustainable building materials. In addition, to the environmental …
alternative for eco-friendly sustainable building materials. In addition, to the environmental …