Network Intrusion Detection with Limited Labeled Data. - S. Lotfi; M. Modirrousta; Shahrzad Shashaani; S. Amini; M. Aliyari Shoorehdeli (CoRR, 2022)

DQLAP: Deep Q-Learning Recommender Algorithm with Update Policy for a Real Steam Turbine System. - M. H. Modirrousta; Mahdi Aliyari Shoorehdeli; Mostafa Yari; Arash Ghahremani (CoRR, 2022)

Analysis of Anomalous Behavior in Network Systems Using Deep Reinforcement Learning with CNN Architecture. - Mohammad Hossein Modirrousta; Parisa Forghani; Mahdi Aliyari Shoorehdeli (CoRR, 2022)

Imbalanced Classification In Faulty Turbine Data: New Proximal Policy Optimization. - Mohammad Hossein Modirrousta; Mahdi Aliyari Shoorehdeli; Mostafa Yari; Arash Ghahremani (CoRR, 2023)

Analysis of anomalous behaviour in network systems using deep reinforcement learning with convolutional neural network architecture. - Mohammad Hossein Modirrousta; Parisa Forghani Arani; Reza Kazemi; Mahdi Aliyari Shoorehdeli (CAAI Trans. Intell. Technol., 2024)

Entropy-enhanced batch sampling and conformal learning in VGAE for physics-informed causal discovery and fault diagnosis. - Mohammad Hossein Modirrousta; Alireza Memarian; Biao Huang 001 (Comput. Chem. Eng., 2025)

A flood expert system using machine learning and IoT: warning, detection, and prediction. - Soleyman Nezhadbasaidu; Mehdi Gheisari; Alireza Kheyrkhah; Mohammad Hossein Modirrousta; Xiuqing Wang; Sherif Moussa; Hemn Barzan Abdalla; Belal Abuhaija (Int. J. Syst. Assur. Eng. Manag., 2025)