1 citations · 2 across the 4 of their papers we have counts for
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A Hybrid Intelligent Framework for Uncertainty-Aware Condition Monitoring of Industrial Systems
Maryam Ahang, Todd Charter, Masoud Jalayer +1
Hybrid approaches that combine data-driven learning with physics-based insight have shown promise for improving the reliability of industrial condition monitoring. This work develo…
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…
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi +4
Machine scheduling aims to optimize job assignments to machines while adhering to manufacturing rules and job specifications. This optimization leads to reduced operational costs,…