Recently developed Machine Learning (ML) interpretability techniques have the potential to
explain how predictors influence the dependent variable in high-dimensional and non-linear …

Vibration control has emerged as a significant concern in civil engineering, aiming to
minimize the displacement and stress exerted on structures during seismic events. The …

Seismic fragility assessment provides a substantial tool for assessing the seismic resilience
of these buildings. However, using traditional numerical methods to derive fragility curves …

The seismic design of new structures, as well as the assessment of seismic vulnerability and
the retrofitting or rehabilitation of existing structures, are two important research fields in civil …

This study presents a novel method for accurately predicting the dynamic behavior of
multistory frame buildings under earthquake ground motion. The proposed method allows …

This study examines the application of Geographic Information Systems (GIS) and
Geospatial Artificial Intelligence (GeoAI) to evaluate accessibility to neighborhood parks and …

Seismic forecasting-an unsolved challenge for science. From the application of
mathematical-statistical methods (Purcaru, 1974, 1979) to increasingly complex analyses …