A5012497047- Face and Expression Recognition
- Statistical Methods and Inference
- Misinformation and Its Impacts
- Data-Driven Disease Surveillance
- Influenza Virus Research Studies
- Anomaly Detection Techniques and Applications
- Spectroscopy and Chemometric Analyses
- COVID-19 epidemiological studies
- Control Systems and Identification
- Vaccine Coverage and Hesitancy
- Sparse and Compressive Sensing Techniques
- Time Series Analysis and Forecasting
- Metabolomics and Mass Spectrometry Studies
- Gene expression and cancer classification
Jinan University
2019-2025
Sufficient dimension reduction (SDR) methods have been extensively studied for regression models with independent data, but options time series are limited, focusing mainly on scalar responses TSIR, TSAVE, and TSSH. Although valuable, these SDR rely the slice approach. Extending them to multivariate via marginal slicing leads numerous slices. Furthermore, approach also poses two main questions: how many slices should be chosen divide all samples into different To overcome these, we introduce...
Background Due to the COVID-19 pandemic, health information related has spread across news media worldwide. Google is among most used internet search engines, and Trends tool can reflect how public seeks COVID-19–related during pandemic. Objective The aim of this study was understand communication through coverage explore their relationship with prevention control at early epidemic stage. Methods To achieve objectives, we analyzed public’s information-seeking behaviors on COVID-19. We...
The COVID-19 outbreak at the end of December 2019 spread rapidly all around world. objective this study is to investigate and understand relationship between public health measures development pandemic through Google search behaviors in United States. Our collected data includes queries related from 1 January 4 April 2020. After using unit root tests (ADF test PP test) examine stationary a Hausman choose random effect model, panel analysis conducted key query terms with newly added cases. In...
Summary Functional sliced inverse regression (FSIR) is the among most popular methods for functional dimension reduction. However, FSIR has two evident shortcomings. On one hand, number of samples in each slice must not be too small and selecting a suitable S difficult, particularly data with sample size, where indicates slices. other its related are well‐known their poor performance when link function an even (or symmetric) dependency. To solve these problems, we propose three new types...
<sec> <title>BACKGROUND</title> Due to the COVID-19 pandemic, health information related has spread across news media worldwide. Google is among most used internet search engines, and Trends tool can reflect how public seeks COVID-19–related during pandemic. </sec> <title>OBJECTIVE</title> The aim of this study was understand communication through coverage explore their relationship with prevention control at early epidemic stage. <title>METHODS</title> To achieve objectives, we analyzed...