2 citations · 2 across the 4 of their papers we have counts for
4 papers
Variational Autoencoders for P-wave Detection on Strong Motion Earthquake Spectrograms
Turkan Simge Ispak, Salih Tileylioglu, Erdem Akagunduz
Accurate P-wave detection is critical for earthquake early warning, yet strong-motion records pose challenges due to high noise levels, limited labeled data, and complex waveform c…
TimesNet-Gen: Deep Learning-based Site Specific Strong Motion Generation
Baris Yilmaz, Bevan Deniz Cilgin, Erdem Akagündüz +1
Effective earthquake risk reduction relies on accurate site-specific evaluations, which require models capable of representing the influence of local site conditions on ground moti…
Infrared Domain Adaptation with Zero-Shot Quantization
Burak Sevsay, Erdem Akagündüz
Quantization is one of the most popular techniques for reducing computation time and shrinking model size. However, ensuring the accuracy of quantized models typically involves cal…
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…