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Mohamed Elmorsy
Mohamed Elmorsy
PhD Candidate, McMaster University
Verified email at mcmaster.ca - Homepage
Title
Cited by
Cited by
Year
Generalizable permeability prediction of digital porous media via a novel multi‐scale 3D convolutional neural network
M Elmorsy, W El‐Dakhakhni, B Zhao
Water Resources Research 58 (3), e2021WR031454, 2022
212022
Rapid Permeability Upscaling of Digital Porous Media via Physics‐Informed Neural Networks
M Elmorsy, W El‐Dakhakhni, B Zhao
Water Resources Research 59 (12), e2023WR035064, 2023
12023
Predicting Digital Porous Media Properties Using Machine Learning Methods
M Elmorsy
2023
Crack Detection in Environments with Complex Backgrounds Using Deep Convolution Neural Nets
M Elmorsy, H Elanwar, A Elbanna, M Sherif
Current Trends in Civil & Structural Engineering 8 (4), 2022
2022
Porous Media Classification Using Multivariate Statistical Methods
M Elmorsy, W El-Dakhakhni, B Zhao
Canadian Society of Civil Engineering Annual Conference, 329-341, 2021
2021
AI-BASED AUTOMATIC CONCRETE CRACKS DETECTION USING DEEP CONVOLUTION NEURAL NETWORKS
MMS Elmorsy
Faculty of Engineering at Cairo University in Partial Fulfillment of the …, 2019
2019
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