This paper describes a non-invasive inspection technique for the estimation of longitudinal
stress in continuous welded rails (CWR) to infer the rail neutral temperature (RNT), ie, the …

The ability to assess the risks of the functional safety of railway tracks allows harmonizing
characteristics of track elements under certain operating conditions under certain …

Since railways are considered among the most critical transportation infrastructures,
significant research exists on the use of modern technology for their safety and security. In …

The early prediction of diabetes can facilitate interventions to prevent or delay it. This study
proposes a diabetes prediction model based on machine learning (ML) to encourage …

Climate change impacts pose challenges to a dependable operation of railway infrastructure
assets, thus necessitating understanding and mitigating its effects. This study proposes a …

Machine learning has been widely applied in structural health monitoring. While most
existing methods, which are limited to forecasting structural state evolution of large …

The focus of this research is the development of predictive models for temperature
forecasting of rail wheel contact temperature through data collection from experimental …

The ballast bed constitutes the cornerstone of the ballasted track. A fouled ballast bed poses
a significant threat to its performance, potentially resulting in severe consequences. In recent …

Railway track buckling poses a significant challenge in railway engineering, necessitating a
rapid and reliable method for evaluating buckling risks to aid in its prediction and prevention …

Excessive deformation of railway tracks caused by thermal loadings critically affects the
efficiency and safety of railway transportation. Accurately quantifying the thermal variations …