Výsledky vyhledávání - "Zhang,Zhengjun"

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Exploring the Potential of Two-Dimensional Materials for Innovations in Multifunctional Electrochromic Biochemical Sensors: A Review

Autor: Anwar, Nadia, Jiang, Guangya, Wen, Yi, Ahmed, Muqarrab, Zhong, Haodong, Ao, Shen, Li, Zehui, Ling, Yunhan, Schneider, Grégory F., Fu, Wangyang, Zhang, Zhengjun

In this review, the current advancements in electrochromic sensors based on two-dimensional (2D) materials with rich chemical and physical properties are critically examined. By summarizing the current trends in and prospects for utilizing multifunct

Externí odkaz: http://arxiv.org/abs/2405.12352

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Akademický článek

Forecasting VaR and ES using the joint regression combined forecasting model in the Chinese stock market

Autor: Lu, Xunfa, Sheng, Kang, Zhang, Zhengjun

Publikováno v: International Journal of Emerging Markets, 2022, Vol. 19, Issue 10, pp. 3393-3417.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/IJOEM-06-2022-0941

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Extreme Limit Theory of Competing Risks under Power Normalization

Autor: Hu, Kaihao, Wang, Kai, Constantinescu, Corina, Zhang, Zhengjun, Ling, Chengxiu

Advanced science and technology provide a wealth of big data from different sources for extreme value analysis. Classical extreme value theory was extended to obtain an accelerated max-stable distribution family for modelling competing risk-based ext

Externí odkaz: http://arxiv.org/abs/2305.02742

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High-dimensional Clustering onto Hamiltonian Cycle

Autor: Huang, Tianyi, Cheng, Shenghui, Li, Stan Z., Zhang, Zhengjun

Clustering aims to group unlabelled samples based on their similarities. It has become a significant tool for the analysis of high-dimensional data. However, most of the clustering methods merely generate pseudo labels and thus are unable to simultan

Externí odkaz: http://arxiv.org/abs/2304.14531

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Spatio-temporal Joint Modelling on Moderate and Extreme Air Pollution in Spain

Autor: Wang, Kai, Ling, Chengxiu, Chen, Ying, Zhang, Zhengjun

Very unhealthy air quality is consistently connected with numerous diseases. Appropriate extreme analysis and accurate predictions are in rising demand for exploring potential linked causes and for providing suggestions for the environmental agency i

Externí odkaz: http://arxiv.org/abs/2302.06059

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