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Omar M. Saad
Omar M. Saad
Research Scientist, KAUST
Dirección de correo verificada de kaust.edu.sa
Título
Citado por
Citado por
Año
Deep denoising autoencoder for seismic random noise attenuation
OM Saad, Y Chen
Geophysics 85 (4), V367-V376, 2020
2252020
A fully unsupervised and highly generalized deep learning approach for random noise suppression
OM Saad, Y Chen
Geophysical Prospecting 69 (4), 709-726, 2021
742021
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
672021
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
592020
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
522021
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
502021
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
Unsupervised deep learning for 3D interpolation of highly incomplete data
OM Saad, S Fomel, R Abma, Y Chen
Geophysics 88 (1), WA189-WA200, 2023
252023
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
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
242022
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
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
222022
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
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
192023
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
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
182022
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