| A gradient-enhanced physics-informed neural network (gPINN) scheme for the coupled non-fickian/non-fourierian diffusion-thermoelasticity analysis: A novel gPINN structure K Eshkofti, SM Hosseini Engineering Applications of Artificial Intelligence 126, 106908, 2023 | 12 | 2023 |
| The novel PINN/gPINN-based deep learning schemes for non-Fickian coupled diffusion-elastic wave propagation analysis K Eshkofti, SM Hosseini Waves in Random and Complex Media, 1-24, 2023 | 5 | 2023 |
| A new modified deep learning technique based on physics-informed neural networks (PINNs) for the shock-induced coupled thermoelasticity analysis in a porous material K Eshkofti, SM Hosseini Journal of Thermal Stresses 47 (6), 798-825, 2024 | 4 | 2024 |
| A deep learning approach based on the physics-informed neural networks for Gaussian thermal shock-induced thermoelastic wave propagation analysis in a thick hollow cylinder … K Eshkofti, SM Hosseini Waves in Random and Complex Media, 1-40, 2022 | 4 | 2022 |
| The modified physics-informed neural network (PINN) method for the thermoelastic wave propagation analysis based on the Moore-Gibson-Thompson theory in porous materials K Eshkofti, SM Hosseini Composite Structures 348, 118485, 2024 | 2 | 2024 |
| Human Reliability Analysis for Cardiopulmonary Resuscitation Process in Emergency Medicine Using a Modified Hybrid Method Based on the Markov Model and Fault Tree Analysis S Rasouli, K Eshkofti, SM Hosseini, E Pishbin Journal of Patient Safety & Quality Improvement 9 (3), 163-175, 2021 | 1 | 2021 |
| Investigation of the Implementation of RFID Technology in Four-Echelon Supply Chain Simulation-Based Approach S Shokouhyar, K Eshkofti, J Firouzbakht Logistics Thought 14 (52), 159-187, 2015 | | 2015 |
