Complex industrial problems coupled with the availability of a more robust computing
infrastructure present many challenges and opportunities for machine learning (ML) in the …

Advanced concrete technology is the science of efficient, cost‐effective, and safe design in
civil engineering projects. Engineers and concrete designers are generally faced with the …

This study introduces a machine learning (ML)-based model for predicting the ultimate
strength of circular concrete-filled fiber-reinforced polymer (FRP)–steel composite tube …

This paper presents a novel fuzzy adaptive jellyfish search-optimized stacking system (FAJS-
SS) that integrates the jellyfish search (JS) optimizer, the fuzzy adaptive (FA) logic controller …

The study of punching shear resistance and failure mode for reinforced concrete (RC) slab-
column structures has been constantly highlighted, due to a number of catastrophic …

The defects of RAC and confinement effect have a significant influence on the performance
of RACFST. But traditional model based on linear regression are insufficient to evaluate this …

The prediction and control of the mechanical behaviours of fibre-reinforced polymer (FRP)-
confined circular concrete columns subjected to axial loading are directly related to the …

This paper aims to propose a new hybrid Machine Learning (ML) with Bayesian
Optimization (BO) methods for predicting the patch loading resistance, P u of longitudinally …

The present study introduces optimized machine learning (OML) models for predicting the
ultimate axial load-carrying capacity of square concrete-filled steel tube (SCFST) columns …

The paper proposes two hybrid metaheuristic optimization and artificial neural network
(ANN) methods for the close prediction of the ultimate axial compressive capacity of …