To ensure the safe and efficient navigation of autonomous vehicles and
a...
Cell line authentication plays a crucial role in the biomedical field,
e...
Image-to-image reconstruction problems with free or inexpensive metadata...
At the turn of the 21st century, urban development has experienced a par...
We propose WS-DINO as a novel framework to use weak label information in...
With accurate and timely traffic forecasting, the impacted traffic condi...
Car-following refers to a control process in which the following vehicle...
Accurate and efficient pedestrian detection is crucial for the intellige...
Our world is moving towards the goal of fully autonomous driving at a fa...
Brain tumor segmentation is a challenging problem in medical image analy...
Automated segmentation of brain tumors in 3D magnetic resonance imaging ...
Short-term traffic forecasting based on deep learning methods, especiall...
Traffic forecasting is a classical task for traffic management and it pl...
An accurate road surface friction prediction algorithm can enable intell...
Road surface friction significantly impacts traffic safety and mobility....
Transit ridership flow and origin-destination (O-D) information is essen...
This study proposes to find the most appropriate transport modes with
aw...
While deep learning has seen many recent applications to drug discovery,...
Traffic speed prediction is a critically important component of intellig...
A model used for velocity control during car following was proposed base...
This study proposes a framework for human-like autonomous car-following
...
Multistep traffic forecasting on road networks is a crucial task in
succ...
Traffic forecasting is a challenging task, due to the complicated spatia...
Short-term traffic forecasting based on deep learning methods, especiall...