| Issue Date | Title | Author(s) |
| 1-Feb-2019 | A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing | Papananias, M; McLeay, TE; Mahfouf, M; Kadirkamanathan, V |
| 25-Feb-2022 | A Bayesian information fusion approach for end product quality estimation using machine learning and on-machine probing | Papananias, M; McLeay, TE; Mahfouf, M; Kadirkamanathan, V |
| 25-Feb-2025 | Bayesian monitoring of machining processes using non-intrusive sensing and on-machine comparator measurement | Papananias, M |
| 22-Sep-2020 | Development of a new machine learning-based informatics system for product health monitoring | Papananias, M; Obajemu, O; McLeay, TE; Mahfouf, M; Kadirkamanathan, V |
| 14-Oct-2020 | Inspection by exception: A new machine learning-based approach for multistage manufacturing | Papananias, M; McLeay, TE; Obajemu, O; Mahfouf, M; Kadirkamanathan, V |
| 5-Jul-2019 | An intelligent metrology informatics system based on neural networks for multistage manufacturing processes | Papananias, M; McLeay, TE; Mahfouf, M; Kadirkamanathan, V |
| 4-Oct-2021 | An interpretable machine learning based approach for process to areal surface metrology informatics | Obajemu, O; Mahfouf, M; Papananias, M; McLeay, TE; Kadirkamanathan, V |
| 2024 | Non-Intrusive Monitoring of Machining Processes for In-Process Product Health Prediction based on Machine Learning | Papananias, M |
| 21-Dec-2022 | A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes | Papananias, M; McLeay, TE; Mahfouf, M; Kadirkamanathan, V |
| 30-Oct-2024 | The Use of Machine Learning In Assessing Future Sustainability of Newly Developed Solar Thermal Systems | Gobio-Thomas, LB; Papananias, M; Darwish, M; Stojceska, V |
