Convolutional Neural Network (CNN) has been widely used in bearing fault diagnosis in
recent years, and many satisfying results have been reported. However, when the training …

Center-based clustering, in particular k-means clustering, is frequently used for point data.
Its advantages include that the resulting clustering is often easy to interpret and that the …

The spatial lane-changing (LC) behavior should be analyzed for the vehicles in
transportation systems in order to identify the patterns of vehicles' movements using the …

PM 2.5 pollution imposes substantial health risks on urban residents. Previous studies
mainly focused on assessing peoples' exposures at static locations, such as homes or …

When COVID-19 first struck the provinces of Northern Italy in early 2020 (especially in
Lombardy and in Emilia-Romagna), the conditions there made it a perfect storm. The virus …

Automatic licence plate recognition (ALPR) data is a vital source for acquiring large-scale
vehicle trajectory data in urban transportation research. However, the sparse distribution of …

In dynamical systems, it is advantageous to identify regions of flow which can exhibit
maximal influence on nearby behaviour. Hyperbolic Lagrangian Coherent Structures have …

In this article, we study a wide range of variants for computing the (discrete and continuous)
Fréchet distance between uncertain curves. An uncertain curve is a sequence of uncertainty …

La grande faune de montagne est actuellement abondante, mais ses effectifs pourraient
baisser si la «qualité» et la surface des habitats disponibles diminuaient, par exemple en …

Given the widespread use of mobile devices that track their geographical location, it has
become increasingly easy to acquire information related to users' trips in real time. This …