Abstract: EEG signals are often used to classify motor imagery in the field of brain-computer interface research. Deep learning is used in EEG signal classification to focus on extracting features, ...
Abstract: This paper studies the design of nondeterministic supervisors for Petri nets with uncontrollable and unobservable transitions under replacement attacks. We focus on the problem of liveness ...
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