Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Author Papananias, M
Showing results 1 to 8 of 8
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 |
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 |