Alexandros Savvaidis

According to our database, Alexandros Savvaidis authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Transfer Learning for Seismic Phase Picking With Significantly Higher Precision in Faraway Seismic Stations.

Omar M. Saad, Alexandros Savvaidis, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2024

Deep Learning Peak Ground Acceleration Prediction Using Single-Station Waveforms.

Omar M. Saad, Islam Helmy, Mona Mohammed, Alexandros Savvaidis, Avigyan Chatterjee, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2024

Deep Learning for P-Wave First-Motion Polarity Determination and Its Application in Focal Mechanism Inversion.

Yangkang Chen, Omar M. Saad, Alexandros Savvaidis, Fangxue Zhang, Yunfeng Chen, Dino Huang, Huijian Li, Farzaneh Aziz Zanjani

IEEE Trans. Geosci. Remote. Sens., 2024

2023

EQCCT: A Production-Ready Earthquake Detection and Phase-Picking Method Using the Compact Convolutional Transformer.

Omar M. Saad, Yunfeng Chen, Daniel Siervo, Fangxue Zhang, Alexandros Savvaidis, Guo-chin Dino Huang, Nadine Igonin, Sergey Fomel, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2023

RFloc3D: A Machine-Learning Method for 3-D Microseismic Source Location Using P- and S-Wave Arrivals.

Yangkang Chen, Alexandros Savvaidis, Sergey Fomel, Omar M. Saad, Yunfeng Chen

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Unsupervised Deep Learning for Single-Channel Earthquake Data Denoising and Its Applications in Event Detection and Fully Automatic Location.

Omar M. Saad, Yunfeng Chen, Alexandros Savvaidis, Wei Chen, Fangxue Zhang, Yangkang Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Machine Learning for Fast and Reliable Source-Location Estimation in Earthquake Early Warning.

Omar M. Saad, Yunfeng Chen, Daniel T. Trugman, M. Sami Soliman, Lotfy Samy, Alexandros Savvaidis, Mohamed Abdelaziz Khamis, Ali G. Hafez, Sergey Fomel, Yangkang Chen

IEEE Geosci. Remote. Sens. Lett., 2022