| Data visualization for Industry 4.0: A stepping-stone toward a digital future, bridging the gap between academia and industry L Allen, J Atkinson, D Jayasundara, J Cordiner, PZ Moghadam Patterns 2 (5), 2021 | 20 | 2021 |
| Integrating machine learning techniques into optimal maintenance scheduling AS Yeardley, JO Ejeh, L Allen, SF Brown, J Cordiner Computers & Chemical Engineering 166, 107958, 2022 | 12 | 2022 |
| Wiz 4.0: A novel data visualisation and analytics dashboard for a graphical approach to industry 4.0 L Allen, J Atkinson, J Cordiner, M Zandi, PZ Moghadam Computer Aided Chemical Engineering 49, 1747-1752, 2022 | 2 | 2022 |
| Predictive Maintenance in the Digital Era AS Yeardley, JO Ejeh, L Allen, SF Brown, J Cordiner Computer Aided Chemical Engineering 51, 1399-1404, 2022 | 1 | 2022 |
| Development of a machine learning framework to determine optimal alloy composition based on steel hardenability prediction L Allen, A Gill, A Smith, D Hill, PZ Moghadam, J Cordiner Digital Chemical Engineering 9, 100118, 2023 | | 2023 |
| Development of an Optimal Maintenance Scheduling Framework for Maintenance 4.0 Applications L Allen, J Aldred, M Scattergood, J Cordiner 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Investigating Machine Learning Techniques for Effective Predictive Maintenance in Industrial Systems M Ahmed, L Allen, J Cordiner 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Knowledge-Enhanced Spatiotemporal Analysis for Anomaly Detection in Process Manufacturing L Allen, H Lu, J Cordiner Available at SSRN 4659032, 0 | | |
