49 citations · 110 across the 10 of their papers we have counts for
10 papers
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…
A Study of the Framework and Real-World Applications of Language Embedding for 3D Scene Understanding
Mahmoud Chick Zaouali, Todd Charter, Yehor Karpichev +2
Gaussian Splatting has rapidly emerged as a transformative technique for real-time 3D scene representation, offering a highly efficient and expressive alternative to Neural Radianc…
From Flight to Insight: Semantic 3D Reconstruction for Aerial Inspection via Gaussian Splatting and Language-Guided Segmentation
Mahmoud Chick Zaouali, Todd Charter, Homayoun Najjaran
High-fidelity 3D reconstruction is critical for aerial inspection tasks such as infrastructure monitoring, structural assessment, and environmental surveying. While traditional pho…
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…
Extended Reality for Enhanced Human-Robot Collaboration: a Human-in-the-Loop Approach
Yehor Karpichev, Todd Charter, Jayden Hong +4
The rise of automation has provided an opportunity to achieve higher efficiency in manufacturing processes, yet it often compromises the flexibility required to promptly respond to…
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…
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,…
Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations
Assef Ghamisi, Todd Charter, Li Ji +3
Conventional defect detection systems in Automated Fibre Placement (AFP) typically rely on end-to-end supervised learning, necessitating a substantial number of labelled defective…
Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN
Maryam Ahang, Masoud Jalayer, Ardeshir Shojaeinasab +3
Bearings are one of the vital components of rotating machines that are prone to unexpected faults. Therefore, bearing fault diagnosis and condition monitoring is essential for redu…