Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniquesPanagiotis G. Asteris, Kypros Pilakoutas, Paulo B. Lourénço et al.|Construction and Building Materials|2022Cited by 138
Soft computing-based models for the prediction of masonry compressive strengthPanagiotis G. Asteris, Humberto Varum, Paulo B. Lourénço et al.|Engineering Structures|2021Cited by 128
Prediction of axial load capacity of rectangular concrete-filled steel tube columns using machine learning techniquesTien-Thinh Le, Minas E. Lemonis, Panagiotis G. Asteris|Engineering With Computers|2021Cited by 127
AI-powered GUI for prediction of axial compression capacity in concrete-filled steel tube columnsPanagiotis G. Asteris, Antonio Formisano, Konstantinos Daniel Tsavdaridis et al.|Neural Computing and Applications|2024Cited by 115
Closed-Form Equation for Estimating Unconfined Compressive Strength of Granite from Three Non-destructive Tests Using Soft Computing ModelsAthanasia D. Skentou, Panagiotis G. Asteris, Anna Mamou et al.|Rock Mechanics and Rock Engineering|2022Cited by 111