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Found 2 papers, 1 papers with code
Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification
Classification using supervised learning requires annotating a large amount of classes-balanced data for model training and testing.
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments
The proposed control strategy for the platoon considers energy consumption, mobility and passenger comfort, with which vehicles may pass signalized intersections with no stops.
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