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Omar M. Saad
Omar M. Saad
Researcher at NRIAG
Verified email at nriag.sci.eg
Title
Cited by
Cited by
Year
Deep denoising autoencoder for seismic random noise attenuation
OM Saad, Y Chen
Geophysics 85 (4), V367-V376, 2020
1942020
A fully unsupervised and highly generalized deep learning approach for random noise suppression
OM Saad, Y Chen
Geophysical Prospecting 69 (4), 709-726, 2021
642021
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
552021
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
462020
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
432021
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
432020
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
422021
Automatic waveform-based source-location imaging using deep learning extracted microseismic signals
OM Saad, Y Chen
Geophysics 85 (6), KS171-KS183, 2020
352020
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
292018
CapsPhase: Capsule Neural Network for Seismic Phase Classification and Picking
OM Saad, Y Chen
IEEE Transactions on Geoscience and Remote Sensing, 2021
252021
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
202018
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
182021
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
172019
Unsupervised deep learning for 3D interpolation of highly incomplete data
OM Saad, S Fomel, R Abma, Y Chen
Geophysics 88 (1), WA189-WA200, 2023
162023
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
162022
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
162022
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
142022
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, 2022
132022
The slope-attribute-regularized high-resolution prestack seismic inversion
G Huang, X Chen, J Li, OM Saad, S Fomel, C Luo, H Wang, Y Chen
Surveys in Geophysics 42, 625-671, 2021
122021
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
112023
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Articles 1–20