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Todd Charter
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Intelligent manufacturing execution systems: A systematic review
A Shojaeinasab, T Charter, M Jalayer, M Khadivi, O Ogunfowora, ...
Journal of Manufacturing Systems 62, 503-522, 2022
882022
Synthesizing rolling bearing fault samples in new conditions: A framework based on a modified CGAN
M Ahang, M Jalayer, A Shojaeinasab, O Ogunfowora, T Charter, ...
Sensors 22 (14), 5413, 2022
142022
Deep Reinforcement Learning for Machine Scheduling: Methodology, the State-of-The-Art, and Future Directions
M Khadivi, T Charter, M Yaghoubi, M Jalayer, M Ahang, A Shojaeinasab, ...
Available at SSRN 4319327, 2023
52023
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
M Ahang, T Charter, O Ogunfowora, M Khadivi, M Abbasi, H Najjaran
arXiv preprint arXiv:2401.10266, 2024
42024
Anomaly detection in automated fibre placement: Learning with data limitations
A Ghamisi, T Charter, L Ji, M Rivard, G Lund, H Najjaran
Frontiers in Manufacturing Technology 4, 1277152, 2024
42024
Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework
M Ahang, M Abbasi, T Charter, H Najjaran
arXiv preprint arXiv:2404.05891, 2024
12024
Extended Reality for Enhanced Human-Robot Collaboration: a Human-in-the-Loop Approach
Y Karpichev, T Charter, H Najjaran
arXiv preprint arXiv:2403.14597, 2024
12024
A mathematical model for simultaneous personnel shift planning and unrelated parallel machine scheduling
M Khadivi, M Abbasi, T Charter, H Najjaran
arXiv preprint arXiv:2402.15670, 2024
12024
Human-Centered Intelligent Monitoring and Control of Industrial Systems: A Framework for Immersive Cyber-Physical Systems
T Charter
University of Victoria, 2024
2024
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