Accurate long series forecasting of traffic information is critical for ...
Accurate vehicle type classification serves a significant role in the
in...
Electric Vehicle (EV) charging demand and charging station availability
...
Machine learning-based methods have achieved successful applications in
...
Prediction over tabular data is an essential task in many data science
a...
Recommender systems are often asked to serve multiple recommendation
sce...
CTR prediction, which aims to estimate the probability that a user will ...
In this work, we address the problem of synthesis of covert attackers in...
Cybersecurity of discrete event systems (DES) has been gaining more and ...