R. De Bold
- Data-driven track geometry fault localisation using unsupervised machine learning. In: Construction and Building Materials, v. 377 (Mai 2023). (2023):
- Big-data driven assessment of railway track and maintenance efficiency using Artificial Neural Networks. In: Construction and Building Materials, v. 349 (September 2022). (2022):
- Using impulse response testing to examine ballast fouling of a railway trackbed. In: Construction and Building Materials, v. 274 (März 2021). (2021):
- Benchmarking large scale GPR experiments on railway ballast. In: Construction and Building Materials, v. 92 (September 2015). (2015):