2 citations · 3 across the 4 of their papers we have counts for
4 papers
Multi-Channel Swin Transformer Framework for Bearing Remaining Useful Life Prediction
Ali Mohajerzarrinkelk, Maryam Ahang, Mehran Zoravar +2
Precise estimation of the Remaining Useful Life (RUL) of rolling bearings is an important consideration to avoid unexpected failures, reduce downtime, and promote safety and effici…
Feature-Weighted MMD-CORAL for Domain Adaptation in Power Transformer Fault Diagnosis
Hootan Mahmoodiyan, Maryam Ahang, Mostafa Abbasi +1
Ensuring the reliable operation of power transformers is critical to grid stability. Dissolved Gas Analysis (DGA) is widely used for fault diagnosis, but traditional methods rely o…
A Review of AI and Machine Learning Contribution in Predictive Business Process Management (Process Enhancement and Process Improvement Approaches)
Mostafa Abbasi, Rahnuma Islam Nishat, Corey Bond +4
Purpose- The significance of business processes has fostered a close collaboration between academia and industry. Moreover, the business landscape has witnessed continuous transfor…
A mathematical model for simultaneous personnel shift planning and unrelated parallel machine scheduling
Maziyar Khadivi, Mostafa Abbasi, Todd Charter +1
This paper addresses a production scheduling problem derived from an industrial use case, focusing on unrelated parallel machine scheduling with the personnel availability constrai…