Omar M. Saad

Deep-Denoising-Autoencoder-for-Seismic-Random-Noise-Attenuation. Deep Denoising Autoencoder for Seismic Random Noise Attenuation

PATCHUNET. Jupyter Notebook

DIP_for_3D_Seismic_Denoising. Jupyter Notebook

SCALODEEP. SCALODEEP: Deep Learning Framework for Earthquake Signal Detection

Scalo_CAE. Automatic waveform-based source-location imaging using deep learning extracted microseismic signals

CapsPhase. CapsPhase: Capsule Neural Network for Seismic Phase Classification and Picking

Picking-Texas. Transfer Learning for Seismic Phase Picking in Texas

Deep-learning-for-earthquake-parameters-classification-in-EEW. Jupyter Notebook

RandomForest_Location. Random Forest for estimation of the earthquake location.

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

U-Trans. U-Trans: a foundation model for seismic waveform representation and enhanced downstream earthquake tasks

EqDenoising. Jupyter Notebook

Self-attention-FCDenseNets. Jupyter Notebook

DLPOCS_Reconstruction. MATLAB