Zobrazeno 1 - 10
of 181
pro vyhledávání: '"Jia, Ziyu"'
In this paper, we address the challenges in automatic sleep stage classification, particularly the high computational cost, inadequate modeling of bidirectional temporal dependencies, and class imbalance issues faced by Transformer-based models. To a
Externí odkaz:
http://arxiv.org/abs/2411.01589
Autor:
Yang, Xiaoxiao, Jia, Ziyu
Motor imagery (MI) classification is key for brain-computer interfaces (BCIs). Until recent years, numerous models had been proposed, ranging from classical algorithms like Common Spatial Pattern (CSP) to deep learning models such as convolutional ne
Externí odkaz:
http://arxiv.org/abs/2409.09627
Sleep staging is critical for assessing sleep quality and diagnosing disorders. Recent advancements in artificial intelligence have driven the development of automated sleep staging models, which still face two significant challenges. 1) Simultaneous
Externí odkaz:
http://arxiv.org/abs/2408.11884
Autor:
Liu, Chenyu, Zhou, Xinliang, Wu, Yihao, Ding, Yi, Zhai, Liming, Wang, Kun, Jia, Ziyu, Liu, Yang
Compared to other modalities, electroencephalogram (EEG) based emotion recognition can intuitively respond to emotional patterns in the human brain and, therefore, has become one of the most focused tasks in affective computing. The nature of emotion
Externí odkaz:
http://arxiv.org/abs/2408.06027
Autor:
Liu, Chenyu, Zhou, Xinliang, Wu, Yihao, Yang, Ruizhi, Wang, Zhongruo, Zhai, Liming, Jia, Ziyu, Liu, Yang
Compared to other modalities, EEG-based emotion recognition can intuitively respond to the emotional patterns in the human brain and, therefore, has become one of the most concerning tasks in the brain-computer interfaces field. Since dependencies wi
Externí odkaz:
http://arxiv.org/abs/2402.01138
Drowsy driving has a crucial influence on driving safety, creating an urgent demand for driver drowsiness detection. Electroencephalogram (EEG) signal can accurately reflect the mental fatigue state and thus has been widely studied in drowsiness moni
Externí odkaz:
http://arxiv.org/abs/2304.14920
Autor:
Zhou, Xinliang, Liu, Chenyu, Wang, Zhongruo, Zhai, Liming, Jia, Ziyu, Guan, Cuntai, Liu, Yang
The close coupling of artificial intelligence (AI) and electroencephalography (EEG) has substantially advanced human-computer interaction (HCI) technologies in the AI era. Different from traditional EEG systems, the interpretability and robustness of
Externí odkaz:
http://arxiv.org/abs/2304.10755
Autor:
Liu, Yilou, Zhao, Rui-Shan, Zhang, Kai-Kai, Jia, Ziyu, Wan, Ren-Gang, Sun, Hui, Yang, Wen-Xing, Xie, Xiao-Tao
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena November 2024 188
Publikováno v:
In Neural Networks November 2024 179
Carbon quantum dots from carbohydrate-rich residue of birch obtained following lignin-first strategy
Publikováno v:
In Bioresource Technology September 2024 408