Panagiotis G. Asteris

Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models

A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength

Concrete compressive strength using artificial neural networks

A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model

Mathematical Macromodeling of Infilled Frames: State of the Art

Lateral Stiffness of Brick Masonry Infilled Plane Frames

Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete

Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns

Self-compacting concrete strength prediction using surrogate models

Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models

Prediction of cement-based mortars compressive strength using machine learning techniques

Seismic vulnerability assessment of historical masonry structural systems