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Waichon Lio

As seen in: MDPI
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Articles

Uncertain Particle Filtering: A New Real-Time State Estimation Method for Failure Prognostics

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By Jingyu Liang, Yinghua Shao, Waichon Lio, Jie Liu
| 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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Initial Value Estimation of Uncertain Differential Equations Based on Residuals with Application in Financial Market

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By Waichon Lio, Yang Liu
| MDPI
1. Introduction As an important field of mathematics, the development of differential equations provides powerful tools for us to understand and simulate dynamic changes in nature and engineering. However, the complexity of the real world is often accompanied by the existence of non-determinism, which makes traditional differential equation models seem powerless in some cases.
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Uncertain Time Series Analysis for the Confirmed Case of Brucellosis in China

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By Shanshan Zhang, Yaxuan Zhang, Rui Kang, Waichon Lio
| MDPI
1. Introduction Brucellosis, a zoonotic infectious disease caused by the bacterium Brucella, is mainly transmitted to humans through direct contact with infected animals, such as cattle, sheep, and pigs, or through the consumption of unprocessed meat and dairy products from these animals. It is characterized by long-term fever, excessive sweating, joint pain, and hepatomegaly or splenomegaly. It is prevalent worldwide, with over 123 countries reporting cases.
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