Follow
Omar M. Saad
Omar M. Saad
Research Scientist, KAUST
Verified email at kaust.edu.sa
Title
Cited by
Cited by
Year
Deep denoising autoencoder for seismic random noise attenuation
OM Saad, Y Chen
Geophysics 85 (4), V367-V376, 2020
2382020
A fully unsupervised and highly generalized deep learning approach for random noise suppression
OM Saad, Y Chen
Geophysical Prospecting 69 (4), 709-726, 2021
802021
Unsupervised 3-D random noise attenuation using deep skip autoencoder
L Yang, S Wang, X Chen, OM Saad, W Chen, YASI Oboue, Y Chen
IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021
732021
Deep learning approach for earthquake parameters classification in earthquake early warning system
OM Saad, AG Hafez, MS Soliman
IEEE Geoscience and Remote Sensing Letters 18 (7), 1293-1297, 2020
722020
Scalodeep: A highly generalized deep learning framework for real‐time earthquake detection
OM Saad, G Huang, Y Chen, A Savvaidis, S Fomel, N Pham, Y Chen
Journal of Geophysical Research: Solid Earth 126 (4), e2020JB021473, 2021
632021
Self-attention deep image prior network for unsupervised 3-D seismic data enhancement
OM Saad, YASI Oboue, M Bai, L Samy, L Yang, Y Chen
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021
612021
Earthquake detection and P-wave arrival time picking using capsule neural network
OM Saad, Y Chen
IEEE Transactions on Geoscience and Remote Sensing 59 (7), 6234-6243, 2020
522020
CapsPhase: Capsule Neural Network for Seismic Phase Classification and Picking
OM Saad, Y Chen
IEEE Transactions on Geoscience and Remote Sensing, 2021
442021
Automatic waveform-based source-location imaging using deep learning extracted microseismic signals
OM Saad, Y Chen
Geophysics 85 (6), KS171-KS183, 2020
402020
Unsupervised deep learning for 3D interpolation of highly incomplete data
OM Saad, S Fomel, R Abma, Y Chen
Geophysics 88 (1), WA189-WA200, 2023
382023
Denoising of distributed acoustic sensing data using supervised deep learning
L Yang, S Fomel, S Wang, X Chen, W Chen, OM Saad, Y Chen
Geophysics 88 (1), WA91-WA104, 2023
342023
Real‐time earthquake detection and magnitude estimation using vision transformer
OM Saad, Y Chen, A Savvaidis, S Fomel, Y Chen
Journal of Geophysical Research: Solid Earth 127 (5), e2021JB023657, 2022
342022
3D microseismic monitoring using machine learning
Y Chen, OM Saad, A Savvaidis, Y Chen, S Fomel
Journal of Geophysical Research: Solid Earth 127 (3), e2021JB023842, 2022
332022
Automatic arrival time detection for earthquakes based on stacked denoising autoencoder
OM Saad, K Inoue, A Shalaby, L Samy, MS Sayed
IEEE Geoscience and Remote Sensing Letters 15 (11), 1687-1691, 2018
332018
Automatic arrival time detection for earthquakes based on Modified Laplacian of Gaussian filter
OM Saad, A Shalaby, L Samy, MS Sayed
Computers & Geosciences 113, 43-53, 2018
282018
Denoising of distributed acoustic sensing seismic data using an integrated framework
Y Chen, A Savvaidis, S Fomel, Y Chen, OM Saad, H Wang, YASI Oboué, ...
Seismological Society of America 94 (1), 457-472, 2023
262023
High-fidelity permeability and porosity prediction using deep learning with the self-attention mechanism
L Yang, S Wang, X Chen, W Chen, OM Saad, X Zhou, N Pham, Z Geng, ...
IEEE Transactions on Neural Networks and Learning Systems 34 (7), 3429-3443, 2022
252022
Machine learning for fast and reliable source-location estimation in earthquake early warning
OM Saad, Y Chen, D Trugman, MS Soliman, L Samy, A Savvaidis, ...
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
252022
EQCCT: A production-ready earthquake detection and phase-picking method using the compact convolutional transformer
OM Saad, Y Chen, D Siervo, F Zhang, A Savvaidis, GD Huang, N Igonin, ...
IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023
232023
Unsupervised deep learning for single-channel earthquake data denoising and its applications in event detection and fully automatic location
OM Saad, Y Chen, A Savvaidis, W Chen, F Zhang, Y Chen
IEEE Transactions on Geoscience and Remote Sensing 60, 1-10, 2022
222022
The system can't perform the operation now. Try again later.
Articles 1–20