Increasing the Classification Accuracy of EEG based Brain-computer Interface Signals

Детайли

Източник: 10th International Conference on Advanced Computer Information Technologies (ACIT), 16 - 18 Sept. 2020, Deggendorf, Germany
Издателство: Institute of Electrical and Electronics Engineers
Местоиздаване: New York
Година на издаване: 2020
Страници: pp. 386 - 390

ISBN: ISBN 978-1-7281-6759-6 (print) ; 978-1-7281-6760-2
Забележка: Автори: Georgi Petrov Dimitrov, Pavel Stoyanov Petrov, Inna Dimitrova, Galina Panayotova, Ivan Garvanov, Olexiy Bychkov, Eugenia Kovatcheva, Pepa Petrova. - DOI: 10.1109/ACIT49673.2020.9208944
Системен №: 12368
Допълнителна сигнатура: I 57
Website: https://ieeexplore.ieee.org/document/9208944/

Действия

APA Chicago / Turabian (16th edition) Harvard MLA (7th edition) Vancouver

Increasing the Classification Accuracy of EEG based Brain-computer Interface Signals. New York: Institute of Electrical and Electronics Engineers, 2020 pp. 386 - 390, ISBN 978-1-7281-6759-6 (print) ; 978-1-7281-6760-2.

(2020) Increasing the Classification Accuracy of EEG based Brain-computer Interface Signals, New York: Institute of Electrical and Electronics Engineers pp. 386 - 390, ISBN 978-1-7281-6759-6 (print) ; 978-1-7281-6760-2.

(2020). Increasing the Classification Accuracy of EEG based Brain-computer Interface Signals. New York: Institute of Electrical and Electronics Engineers, pp. 386 - 390.

Increasing the Classification Accuracy of EEG based Brain-computer Interface Signals. New York: Institute of Electrical and Electronics Engineers; 2020. p. pp. 386 - 390. ISBN: ISBN 978-1-7281-6759-6 (print) ; 978-1-7281-6760-2.

Increasing the Classification Accuracy of EEG based Brain-computer Interface Signals

Детайли

Допълнителна информация

Действия