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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
2232020
A fully unsupervised and highly generalized deep learning approach for random noise suppression
OM Saad, Y Chen
Geophysical Prospecting 69 (4), 709-726, 2021
732021
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
652021
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
582020
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
512021
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
482021
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
482020
Automatic waveform-based source-location imaging using deep learning extracted microseismic signals
OM Saad, Y Chen
Geophysics 85 (6), KS171-KS183, 2020
382020
CapsPhase: Capsule Neural Network for Seismic Phase Classification and Picking
OM Saad, Y Chen
IEEE Transactions on Geoscience and Remote Sensing, 2021
322021
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
322018
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
252022
Unsupervised deep learning for 3D interpolation of highly incomplete data
OM Saad, S Fomel, R Abma, Y Chen
Geophysics 88 (1), WA189-WA200, 2023
242023
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
232018
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
212022
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
212022
Uncovering the microseismic signals from noisy data for high-fidelity 3D source-location imaging using deep learning
OM Saad, M Bai, Y Chen
Geophysics 86 (6), KS161-KS173, 2021
202021
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
192022
A MATLAB code package for 2D/3D local slope estimation and structural filtering
H Wang, Y Chen, OM Saad, W Chen, YASI Oboué, L Yang, S Fomel, ...
Geophysics 87 (3), F1-F14, 2022
192022
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
182023
Automatic discrimination of earthquakes and quarry blasts using wavelet filter bank and support vector machine
OM Saad, A Shalaby, MS Sayed
Journal of Seismology 23, 357-371, 2019
182019
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Articles 1–20