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Jingying Gao

As seen in: Wiley Online Library, MDPI
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Articles

Tail index estimation for tail adversarial stable time series with an application to high‐dimensional tail clustering

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By Boston MA USA, Jingying Gao, Yu Shao, Hanyue Cao
| Wiley Online Library Verified
Data Availability Statement The data that support the findings of this study are available in Yahoo Finance at https://finance.yahoo.com/. These data were derived from the following resources available in the public domain: – Yahoo Finance, https://finance.yahoo.com/. Supporting Information Filename Description jtsa12785-sup-0001-supinfo.pdfPDF document, 303.3 KB Appendix S1. Supporting information. REFERENCES , . 2016. Statistical laws in linguistics.
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A Study on the Effects of Vacuum, Nitrogen, and Air Heat Treatments on Single-Chain Cellulose Based on a Molecular Dynamics Simulation

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By Youna Hua, Wei Wang, Jingying Gao, Ning Li
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Prediction of Dielectric Loss Factor of Wood in Radio Frequency Heating and Drying Based on IPOA-BP Modeling

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By Jingying Gao, Wei Qing Wang, Zening Qu
| MDPI
1. Introduction Radio frequency heating is an essential nontraditional technology for the high-quality dehydration and phytosanitation of wood products, and for the past decade or so, the radio frequency vacuum (RFV) drying of wood has become a valuable tool for drying high-quality wood, panels, and logs [1]. The dielectric loss factor of wood during RFV drying is a parameter that describes the ability of a material to transform and dissipate energy in an electric field.
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