Closed-Form Equation for Estimating Unconfined Compressive Strength of Granite from Three Non-destructive Tests Using Soft Computing ModelsAthanasia D. Skentou, Panagiotis G. Asteris, Abidhan Bardhan et al.|Rock Mechanics and Rock Engineering|2022Cited by 111
Efficient computational techniques for predicting the California bearing ratio of soil in soaked conditionsAbidhan Bardhan, Panagiotis G. Asteris, Candan Gökçeoğlu et al.|Engineering Geology|2021Cited by 109
Early prediction of COVID-19 outcome using artificial intelligence techniques and only five laboratory indicesPanagiotis G. Asteris, Meletios Α. Dimopoulos, Styliani Kokoris et al.|Clinical Immunology|2022Cited by 37
Ensemble unit and AI techniques for prediction of rock strainT. Pradeep, Panagiotis G. Asteris, Pijush Samui et al.|Frontiers of Structural and Civil Engineering|2022Cited by 25
Machine learning-based Graphical User Interface for predicting high-performance concrete compressive strength: Comparative analysis of Gradient Boosting Machine, Random Forest, and Deep Neural Network ModelsFurquan Ahmad, Panagiotis G. Asteris, Albaraa Alasskar et al.|Frontiers of Structural and Civil Engineering|2025Cited by 23