1 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.SY2023★ 1 cited
Imbalanced Classification In Faulty Turbine Data: New Proximal Policy Optimization
Mohammad Hossein Modirrousta, Mahdi Aliyari Shoorehdeli, Mostafa Yari +1
There is growing importance to detecting faults and implementing the best methods in industrial and real-world systems. We are searching for the most trustworthy and practical data…
cs.LG2022★ 1 cited
DQLAP: Deep Q-Learning Recommender Algorithm with Update Policy for a Real Steam Turbine System
M. H. Modirrousta, M. Aliyari Shoorehdeli, M. Yari +1
In modern industrial systems, diagnosing faults in time and using the best methods becomes more and more crucial. It is possible to fail a system or to waste resources if faults ar…