This study presents a detailed analysis of various machine learning models for predicting the interfacial bond strength of fiber-reinforced polymer (FRP) concrete, including multiple linear regression, Multigene Genetic Programming (MGGP), an ensemble of
Miljan Kovačević +4 more
doaj +1 more source
RBF-assisted surrogate modeling and machine learning for mechanical property prediction in friction stir additive manufacturing: Application to dissimilar AA6061/AA7075 aluminum alloys. [PDF]
Venkatachalam K +4 more
europepmc +1 more source
Machine Learning-Based Prediction of Textural Properties and Nonlinear Regulatory Pattern Analysis of 3D-Printed Dough Containing Konjac Glucomannan. [PDF]
Leng W, Sun Y, Xie J, Pang J.
europepmc +1 more source
A hybrid GPR framework with feature selection for enhanced prediction and explainability of subgrade soil strength. [PDF]
Bouguedra B +4 more
europepmc +1 more source
Gaussian Process Regression for Tail Vehicle Departure Time Prediction at Signalized Intersections Using UAV Trajectory Data. [PDF]
Lu K, Liu Z, Zhang R, Xia Q, Wang R.
europepmc +1 more source
Data-driven prediction of micro-piled raft load-settlement using machine learning and Monte Carlo simulation. [PDF]
El Gendy M.
europepmc +1 more source
Synthetic Expansion of Blood Dielectric Spectra at Microwave Frequencies Using Data-Driven Methods. [PDF]
Alhummada I +5 more
europepmc +1 more source
Information-Entropic Deep Learning with Gaussian Process Regularisation for Uncertainty-Aware Quantitative Trading. [PDF]
Lin F, Sun H.
europepmc +1 more source
Optimal Sensor Placement in Buildings: Earthquake Excitation. [PDF]
Ghahari F, Swensen D, Haddadi H.
europepmc +1 more source

