Interaction between the background vehicles (BVs) and automated vehicles...
The standard approaches to neural network implementation yield powerful
...
With the rapid growth of software scale and complexity, a large number o...
As a randomized learner model, SCNs are remarkable that the random weigh...
Contrastive self-supervised learning has recently benefited fMRI
classif...
Car-following refers to a control process in which the following vehicle...
Muilti-modality data are ubiquitous in biology, especially that we have
...
The ability to deal with uncertainty in machine learning models has beco...
A model used for velocity control during car following was proposed base...
This study proposes a framework for human-like autonomous car-following
...
Five car-following models were calibrated, validated and cross-compared....
With rapidly increasing of the land development density along suburban
a...
Real-time safety analysis has become a hot research topic as it can more...
Real-time safety analysis has become a hot research topic as it can reve...
Approach-level models were developed to accommodate the diversity of
app...
With the rapid changes in land use development along suburban arterials ...
With the rapid changes in land use development along suburban arterials ...
The bit-reversed permutation is a famous task in signal processing and i...