A multiple-input deep residual convolutional neural network for reservoir permeability prediction M Masroor, ME Niri, MH Sharifinasab Geoenergy Science and Engineering 222, 211420, 2023 | 30 | 2023 |
Application of machine and deep learning techniques to estimate NMR-derived permeability from conventional well logs and artificial 2D feature maps M Masroor, M Emami Niri, AH Rajabi-Ghozloo, MH Sharifinasab, ... Journal of Petroleum Exploration and Production Technology 12 (11), 2937-2953, 2022 | 17 | 2022 |
Developing GAN-boosted artificial neural networks to model the rate of drilling bit penetration MH Sharifinasab, ME Niri, M Masroor Applied Soft Computing 136, 110067, 2023 | 13 | 2023 |
Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging M Masroor, T Hassan, Y Tian, K Wells, D Rosewarne, TT Do, G Carneiro arXiv preprint arXiv:2411.11939, 2024 | | 2024 |
Developing a novel deep learning approach to diagnosis COVID-19 disease using lung CT-scan images F Savei, OM Ebadati, SH Siadat, M Masroor 2024 13th Iranian/3rd International Machine Vision and Image Processing …, 2024 | | 2024 |
Application of a Multiple-Input Deep Neural Network for Estimation of Reservoir Permeability M Masroor, ME Niri, AHR Ghozloo, MHS Nasab 83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5, 2022 | | 2022 |
Developing a Gan-Boosted Mlp Model for Prediction of the Drilling Rate of Penetration MHS Nasab, ME Niri, AHR Ghozloo, M Masroor 83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5, 2022 | | 2022 |