This project provides an interface for reinforcement learning(RL)-based control of functional mock-up units (FMUs) under uncertainties. The interface is designed to be compatible with the Functional ...
Abstract: Machine learning, deep learning, convolutional neural networks are becoming common terms in the field of data processing. The principle is to create models based on base set testing, which ...
Deep Adversarial Domain Adaptation With Few-Shot Learning for Motor-Imagery Brain-Computer Interface
Abstract: Electroencephalography (EEG) is the most prevalent signal acquisition technique for brain-computer interface (BCI). However, the statistical distribution of EEG data varies across subjects ...
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