3 citations · 8 across the 8 of their papers we have counts for
9 papers
A Node Embedding Framework for Model-Centric Conformance Checking in Process Mining
Mostafa Abbasi, Homayoun Najjaran
Evaluating the quality of process models discovered from event logs is a fundamental challenge in process mining. Traditional evaluation relies on conformance metrics such as fitne…
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…
An Innovative Next Activity Prediction Using Process Entropy and Dynamic Attribute-Wise-Transformer in Predictive Business Process Monitoring
Hadi Zare, Mostafa Abbasi, Maryam Ahang +1
Next activity prediction in predictive business process monitoring is crucial for operational efficiency and informed decision-making. While machine learning and Artificial Intelli…
An Innovative Data-Driven and Adaptive Reinforcement Learning Approach for Context-Aware Prescriptive Process Monitoring
Mostafa Abbasi, Maziyar Khadivi, Maryam Ahang +3
The application of artificial intelligence and machine learning in business process management has advanced significantly, however, the full potential of these technologies remains…
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…
Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework
Maryam Ahang, Mostafa Abbasi, Todd Charter +1
Condition monitoring of industrial systems is crucial for ensuring safety and maintenance planning, yet notable challenges arise in real-world settings due to the limited or non-ex…
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…
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
Maryam Ahang, Todd Charter, Mostafa Abbasi +3
Condition monitoring is essential for ensuring the safety, reliability, and efficiency of modern industrial systems. With the increasing complexity of industrial processes, artific…