C. L. Ho
- Data-driven track geometry fault localisation using unsupervised machine learning. In: Construction and Building Materials, v. 377 (May 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):
- Rigorous landslide hazard zonation using Newmark's method and stochastic ground motion simulation. In: Soil Dynamics and Earthquake Engineering, v. 18, n. 4 (June 1999). (1999):
- Reduction factor for liquefaction potential analysis. In: Soil Dynamics and Earthquake Engineering, v. 9, n. 6 (November 1990). (1990):
- Benchmarking railway vibrations – Track, vehicle, ground and building effects. In: Construction and Building Materials, v. 92 (September 2015). (2015):
- Use of seismic surface wave testing to assess track substructure condition. In: Construction and Building Materials, v. 155 (November 2017). (2017):