What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media

Autor: Kuang, Junwei, Xie, Jiaheng, Yan, Zhijun

Depression is the most prevalent and serious mental illness, which induces grave financial and societal ramifications. Depression detection is key for early intervention to mitigate those consequences. Such a high-stake decision inherently necessitat

Externí odkaz: http://arxiv.org/abs/2305.13127

Modeling multivariate dependence by nonparametric pair-copula construction in composite system reliability evaluation

Autor: Zhao, Yuan, Liu, QingYao, Kuang, Junwei, Xie, Kaigui, Du, Weiming

Publikováno v: In International Journal of Electrical Power and Energy Systems January 2021 124

Dynamic prediction of cardiovascular disease using improved LSTM

Autor: Kuang Junwei, Hangzhou Yang, Liu Junjiang, Yan Zhijun

Publikováno v: International Journal of Crowd Science, Vol 3, Iss 1, Pp 14-25 (2019)

Purpose - Previous dynamic prediction models rarely handle multi-period data with different intervals, and the large-scale patient hospital records are not effectively used to improve the prediction performance. This paper aims to focus on the predic

Externí odkaz: https://doaj.org/article/12893b33e7b841d5aab4c9be7f938194

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Studies on transmittance modulation and ions transfer kinetic based on capacitive-controlled 2D V 2 O 5 inverse opal film for electrochromic energy storage application.

Autor: Zhao L; School of Chemical Engineering and Energy Technology, Dongguan University of Technology, Dongguan 523808, People's Republic of China., Kuang J; School of Chemical Engineering and Energy Technology, Dongguan University of Technology, Dongguan 523808, People's Republic of China., Zhuang W; School of Chemical Engineering and Energy Technology, Dongguan University of Technology, Dongguan 523808, People's Republic of China., Chao J; School of Chemical Engineering and Energy Technology, Dongguan University of Technology, Dongguan 523808, People's Republic of China., Liao W; School of Chemical Engineering and Energy Technology, Dongguan University of Technology, Dongguan 523808, People's Republic of China., Fu X; School of Chemical Engineering and Energy Technology, Dongguan University of Technology, Dongguan 523808, People's Republic of China., Li C; School of Chemical Engineering and Energy Technology, Dongguan University of Technology, Dongguan 523808, People's Republic of China., Ye L; School of Chemical Engineering and Energy Technology, Dongguan University of Technology, Dongguan 523808, People's Republic of China., Liu H; Guangdong Biomaterials Engineering Technology Research Center, Institute of Bioengineering, Guangdong Academy of Sciences, Guangzhou 510316, People's Republic of China.

Publikováno v: Nanotechnology [Nanotechnology] 2021 Nov 12; Vol. 33 (5). Date of Electronic Publication: 2021 Nov 12.