Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Zhiri Tang"'
Publikováno v:
Frontiers in Computational Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/8f6285283ebf423b9ee95e3214e36e6c
Autor:
Wenle Li, Youzheng Dong, Wencai Liu, Zhiri Tang, Chenyu Sun, Scott Lowe, Shuya Chen, Rachel Bentley, Qin Zhou, Chan Xu, Wanying Li, Bing Wang, Haosheng Wang, Shengtao Dong, Zhaohui Hu, Qiang Liu, Xintian Cai, Xiaowei Feng, Wei Zhao, Chengliang Yin
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
Osteosarcoma was the most frequent type of malignant primary bone tumor with a poor survival rate mainly occurring in children and adolescents. For precision treatment, an accurate individualized prognosis for Osteosarcoma patients is highly desired.
Externí odkaz:
https://doaj.org/article/171036ae11884dbdab7ea7931d01da1f
Publikováno v:
IEEE Access, Vol 7, Pp 47472-47478 (2019)
Memristors attract wide attention due to its high integration and parallel computation, having great potential to promote the development of machine learning. As memristors are prone to internal and external variabilities, their variabilities hurt th
Externí odkaz:
https://doaj.org/article/5a98642a7e1d48e1b7993aa40ad645bf
Autor:
Edmond Q. Wu, Zhiri Tang, Pengwen Xiong, Ping-Yu Deng, Li-Min Zhu, MengChu Zhou, Xu-Yi Qiu, Aiguo Song, Yuxuan Yao
Publikováno v:
IEEE Transactions on Cybernetics. 52:12464-12478
This work proposes a scalable gamma non-negative matrix network (SGNMN), which uses a Poisson randomized Gamma factor analysis to obtain the neurons of the first layer of a network. These neurons obey Gamma distribution whose shape parameter infers t
Publikováno v:
IEEE Transactions on Cybernetics. 52:12302-12314
This work proposes a nonparametric prior induced deep sum-logarithmic-multinomial mixture (DSLMM) model to detect pilots' cognitive states through the developed brain power map. DSLMM uses multinormal distribution to infer the latent variable of each
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:11699-11709
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:5245-5256
The evaluation of pilot brain activity is very important for flight safety. This study proposes a Hidden semi-Markov Model with Hierarchical prior to detect brain activity under different flight tasks. A dynamic student mixture model is proposed to d
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 14:116-125
Autor:
Yulian Cao, He Ren, Edmond Q. Wu, Ping-Yu Deng, Dewen Hu, Wen-Ming Zhang, Li-Min Zhu, Zhiri Tang
Publikováno v:
IEEE Transactions on Cybernetics. 51:5483-5496
Pilots' brain fatigue status recognition faces two important issues. They are how to extract brain cognitive features and how to identify these fatigue characteristics. In this article, a gamma deep belief network is proposed to extract multilayer de
Autor:
Gui-Rong Zhou, Zhiri Tang, Richard S. F. Sheng, Xu-Yi Qiu, Ping-Yu Deng, Li-Min Zhu, Wen-Ming Zhang, Edmond Q. Wu, He Ren
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 13:575-585
This article presents a solution for fatigue recognition through a new deep learning model that has a characteristic input of the power spectrum of an electroencephalogram (EEG) signal. First, four rhythms are obtained through the designed FIR filter