GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM L Hong, MH Modirrousta, M Hossein Nasirpour, M Mirshekari Chargari, ... CAAI Transactions on Intelligence Technology, 2023 | 32 | 2023 |
Deep Q‐learning recommender algorithm with update policy for a real steam turbine system MH Modirrousta, M Aliyari Shoorehdeli, M Yari, A Ghahremani IET Collaborative Intelligent Manufacturing 5 (3), e12081, 2023 | 11 | 2023 |
Analysis of anomalous behaviour in network systems using deep reinforcement learning with convolutional neural network architecture MH Modirrousta, P Forghani Arani, R Kazemi, M Aliyari‐Shoorehdeli CAAI Transactions on Intelligence Technology 9 (6), 1467-1484, 2024 | 7* | 2024 |
Network intrusion detection with limited labeled data S Lotfi, M Modirrousta, S Shashaani, S Amini, MA Shoorehdeli arXiv preprint arXiv:2209.03147, 2022 | 6 | 2022 |
Imbalanced classification in faulty turbine data: New proximal policy optimisation MH Modirrousta, M Aliyari Shoorehdeli, M Yari IET Collaborative Intelligent Manufacturing 6 (3), e12114, 2024 | 3 | 2024 |
Entropy-enhanced batch sampling and conformal learning in VGAE for physics-informed causal discovery and fault diagnosis M Modirrousta, A Memarian, B Huang Computers & Chemical Engineering, 109053, 2025 | | 2025 |
A flood expert system using machine learning and IoT: warning, detection, and prediction S Nezhadbasaidu, M Gheisari, A Kheyrkhah, MH Modirrousta, X Wang, ... International Journal of System Assurance Engineering and Management, 1-17, 2025 | | 2025 |