...Donya Hajializadeh, BEng (Hons), MEng, PhD This study presents a novel machine-learning-based approach for damage detection using train-borne measurements, under operational conditions (speed > 50 km/h, rail irregularities and noise). To this end, an optimised two-dimensional convolutional...

... potential to enable the needed approach for road condition predictions and proactive asset management. To this end, machine learning techniques have also demonstrated convincing capabilities in solving engineering problems. However, none of them has been considered specifically within a digital twin context...