POTENTIAL MAMMALIAN VECTOR-BORNE DISEASES IN LIVE AND WET MARKETS IN INDONESIA AND MYANMAR


Brain-machine interface based on transfer-learning for detecting the appearance of obstacles during exoskeleton-assisted walking

IntroductionBrain-machine interfaces (BMIs) attempt to establish communication between the user and the device to be controlled.BMIs have great challenges to face in order to design a robust control in the real field of application.The artifacts, high volume of training data, and non-stationarity of the signal of EEG-based interfaces are challenges

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