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pro vyhledávání: '"Liang, Xinbin"'
Objective: Convolutional Neural Networks (CNNs) have shown great potential in the field of Brain-Computer Interfaces (BCIs). The raw Electroencephalogram (EEG) signal is usually represented as 2-Dimensional (2-D) matrix composed of channels and time
Externí odkaz:
http://arxiv.org/abs/2208.10708
Accurately detecting and identifying drivers' braking intention is the basis of man-machine driving. In this paper, we proposed an electroencephalographic (EEG)-based braking intention measurement strategy. We used the Car Learning to Act (Carla) pla
Externí odkaz:
http://arxiv.org/abs/2207.12669
Publikováno v:
In Cell Reports Physical Science 18 September 2024 5(9)
Publikováno v:
In Heliyon 15 September 2024 10(17)
Autor:
Guo, Nana, Liang, Xinbin
Publikováno v:
In Ecological Indicators December 2024 169
Publikováno v:
In Sustainable Cities and Society 1 December 2024 116
Publikováno v:
In Building and Environment 1 December 2024 266
Publikováno v:
In Applied Energy 1 January 2024 353 Part B
Publikováno v:
In Applied Energy 1 November 2023 349
Publikováno v:
In Energy 1 October 2023 280