Development of a hybrid stacked machine learning model for predicting compressive strength of high-performance concrete
This paper presents a state-of-the-art hybrid stacked machine learning (ML) model for
predicting the compressive strength of high-performance concrete (HPC). The proposed …
predicting the compressive strength of high-performance concrete (HPC). The proposed …
Enhancing chloride concentration prediction in marine concrete using conjugate gradient-optimized backpropagation neural network
The paper proposes a novel approach for predicting surface chloride penetration in marine
concrete using a faster and more efficient Backpropagation Neural Network (BPNN) model …
concrete using a faster and more efficient Backpropagation Neural Network (BPNN) model …
Enhancing load capacity prediction of column using eReLU-activated BPNN model
In structural engineering, accurately predicting the load-carrying capacity of columns is
paramount for ensuring the safety and efficiency of construction projects. This study …
paramount for ensuring the safety and efficiency of construction projects. This study …
Machine learning-based prediction of concrete strengths with coconut shell as partial coarse aggregate replacement: a comprehensive analysis and sensitivity study
This study investigates the predictive capacity of machine learning models for the
compressive, flexural, and split tensile strengths of concrete incorporating coconut shell as a …
compressive, flexural, and split tensile strengths of concrete incorporating coconut shell as a …