1. Big-data driven assessment of railway track and maintenance efficiency using Artificial Neural Networks. (26th September 2022) Authors: Popov, K.; De Bold, R.; Chai, H.-K.; Forde, M.C.; Ho, C.L.; Hyslip, J.P.; Kashani, H.F.; Long, P.; Hsu, S.S. Journal: Construction & building materials Issue: Volume 349(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Data-driven track geometry fault localisation using unsupervised machine learning. (9th May 2023) Authors: Popov, K.; De Bold, R.; Chai, H.-K.; Forde, M.C.; Ho, C.L.; Hyslip, J.P.; Kashani, H.F.; Kelly, R.; Hsu, S.S.; Rippin, M. Journal: Construction & building materials Issue: Volume 377(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗