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Mostafa Shahriari
Mostafa Shahriari
GE Healthcare
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Title
Cited by
Cited by
Year
A deep learning approach to the inversion of borehole resistivity measurements
M Shahriari, D Pardo, A Picón, A Galdran, J Del Ser, C Torres-Verdín
Computational Geosciences 24, 971-994, 2020
612020
Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements
M Shahriari, D Pardo, JA Rivera, C Torres-Verdín, A Picon, J Del Ser, ...
International Journal for Numerical Methods in Engineering, 2020
382020
A deep neural network as surrogate model for forward simulation of borehole resistivity measurements
M Shahriari, D Pardo, B Moser, F Sobieczky
Procedia Manufacturing 42, 235-238, 2020
322020
Modeling extra-deep EM logs using a deep neural network
S Alyaev, M Shahriari, D Pardo, AJ Omella, D Larsen, N Jahani, E Suter
GEOPHYSICS 86, E269-E281, 2021
302021
A numerical 1.5 D method for the rapid simulation of geophysical resistivity measurements
M Shahriari, S Rojas, D Pardo, A Rodríguez-Rozas, SA Bakr, VM Calo, ...
Geosciences 8 (6), 225, 2018
242018
How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models?
M Shahriari, R Ramler, L Fischer
Machine Learning and Knowledge Extraction 4 (4), 888-911, 2022
62022
Borehole resistivity simulations of oil-water transition zones with a 1.5 D numerical solver
M Shahriari, D Pardo
Computational Geosciences 24, 1285-1299, 2020
62020
A deep learning approach to design a borehole instrument for geosteering
M Shahriari, A Hazra, D Pardo
Geophysics 87 (2), D83-D90, 2022
52022
Neural network architecture optimization using automated machine learning for borehole resistivity measurements
M Shahriari, D Pardo, S Kargaran, T Teijeiro
Geophysical Journal International 234 (3), 2487-2500, 2023
22023
A scoring algorithm for abnormal traveller behaviour in border crossing areas
S Vora, M Shahriari, SCA Thomopoulos, L Fischer, T Hoch
Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies …, 2020
22020
Numerical modeling of magneto‐hydrodynamics flows using reproducing kernel particle method
M Tatari, M Shahriari, M Raoofi
International Journal of Numerical Modelling: Electronic Networks, Devices …, 2016
22016
A data transformation for the estimation of decay types of multivariate distributions
F Sobieczky, M Shahriari, B Freudenthaler
Procedia Manufacturing 42, 524-527, 2020
12020
Adjoint-based formulation for computing derivatives with respect to bed boundary positions in resistivity geophysics
T Chaumont-Frelet, M Shahriari, D Pardo
Computational Geosciences 23, 583-594, 2019
12019
Requirements for Anomaly Detection Techniques for Microservices
M Steidl, M Gattringer, M Felderer, R Ramler, M Shahriari
International Conference on Product-Focused Software Process Improvement, 37-52, 2022
2022
Requirements for Anomaly Detection Techniques for Microservices
R Ramler, M Shahriari
Product-Focused Software Process Improvement: 23rd International Conference …, 2022
2022
Design of borehole resistivity measurement acquisition systems using deep learning
M Shahriari, A Hazra, D Pardo
https://arxiv.org/abs/2101.05623, 2021
2021
Fast one-dimensional finite element approximation of geophysical measurements
M Shahriari Shourabi
2018
Fast one-dimensional finite element approximation of geophysical measurements
M Shahriari
2018
Geosteering using Deep Learning
M Shahriari, D Pardo, JA Rivera
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Articles 1–19