3 papers
eess.SP2025
Exploring Challenges in Deep Learning of Single-Station Ground Motion Records
Ãmit Mert ÃaÄlar, Baris Yilmaz, Melek Türkmen +2
Contemporary deep learning models have demonstrated promising results across various applications within seismology and earthquake engineering. These models rely primarily on utili…
cs.CV2024
Deep Learning-based Average Shear Wave Velocity Prediction using Accelerometer Records
BarıŠYılmaz, Melek Türkmen, Sanem Meral +2
Assessing seismic hazards and thereby designing earthquake-resilient structures or evaluating structural damage that has been incurred after an earthquake are important objectives…
eess.SP2024
Deep Learning-based Epicenter Localization using Single-Station Strong Motion Records
Melek Türkmen, Sanem Meral, Baris Yilmaz +3
This paper explores the application of deep learning (DL) techniques to strong motion records for single-station epicenter localization. Often underutilized in seismology-related s…