| Spatial–temporal prediction of minerals dissolution and precipitation using deep learning techniques: An implication to Geological Carbon Sequestration Z Tariq, EU Yildirim, M Gudala, B Yan, S Sun, H Hoteit Fuel 341, 127677, 2023 | 15 | 2023 |
| Deep learning driven noise reduction for reduced flux computed tomography KL Alsamadony, EU Yildirim, G Glatz, UB Waheed, SM Hanafy Sensors 21 (5), 1921, 2021 | 14 | 2021 |
| Deep Learning Models for the Prediction of Mineral Dissolution and Precipitation During Geological Carbon Sequestration Z Tariq, EU Yildirim, B Yan, S Sun SPE Reservoir Characterisation and Simulation Conference and Exhibition, 2023 | 6 | 2023 |
| Machine learning-enabled traveltime inversion based on the horizontal source-location perturbation IE Yildirim, T Alkhalifah, EU Yildirim Geophysics 87 (1), U1-U8, 2022 | 3 | 2022 |
| Quality Enhancement of Computed Tomography Images of Porous Media Using Convolutional Neural Networks EU Yıldırım Middle East Technical University, 2022 | | 2022 |
| Deep Learning Based Surrogate Model of CO2 Mineral Trapping in Heterogenous Reactive Formations E Yildirim, Z Tariq, B Yan AGU Fall Meeting 2022, 2022 | | 2022 |
| Deep learning enabled deblurring of computed tomography images of porous media KL Alsamadony, EU Yildirim, G Glatz, U bin Waheed, S M. Hanafy SPE Middle East Intelligent Oil and Gas Symposium, D022S008R001, 2021 | | 2021 |
