Liu Fei
Biographic Data
| ID | 8073505 |
|---|---|
| NAME | Liu Fei |
| GIVEN NAMES | Liu |
| FAMILY NAME | Fei |
| SIGNATURE | FEI L |
| AFFILIATIONS | Hunan University of Technology |
| ORCID | 0000-0001-7603-9436 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
GIS-based assessment of spatial and temporal disparities of urban health index in Shenzhen, China
Purpose: To explore the inter-regional health index at the city level to contribute to the reduction of health inequalities. Methods: Employed the health determinant model to select indicators for the urban health index of Shenzhen City. Utilized principal component analysis, the weights of these indicators are determined to construct the said health index. Subsequently, the global Moran's index and local Moran's index are utilized to investigate…
Topic Mining and Sentiment Analysis based on the Online Review from Mooc Platform’s Logistics Course
In the context of ongoing curriculum teaching reform accelerated by the COVID-19 pandemic, evaluating online logistics courses from the learners’ perspectives and identifying strategies for improvement have become critical areas of inquiry. Despite the growing body of literature on online education, existing studies often overlook the specific topics of interest and emotional tendencies of online logistics course learners. This study addresses th…
No prominent works on this page.
GIS-based assessment of spatial and temporal disparities of urban health index in Shenzhen, China
Purpose: To explore the inter-regional health index at the city level to contribute to the reduction of health inequalities. Methods: Employed the health determinant model to select indicators for the urban health index of Shenzhen City. Utilized principal component analysis, the weights of these indicators are determined to construct the said health index. Subsequently, the global Moran's index and local Moran's index are utilized to investigate…
Topic Mining and Sentiment Analysis based on the Online Review from Mooc Platform’s Logistics Course
In the context of ongoing curriculum teaching reform accelerated by the COVID-19 pandemic, evaluating online logistics courses from the learners’ perspectives and identifying strategies for improvement have become critical areas of inquiry. Despite the growing body of literature on online education, existing studies often overlook the specific topics of interest and emotional tendencies of online logistics course learners. This study addresses th…
Computer Science (2 works) · Cartography (1 work) · China (1 work) · Cluster analysis (1 work) · Data science (1 work) · Data-Driven Disease Surveillance (1 work) · Diverse Approaches in Healthcare and Education Studies (1 work) · Educational Systems and Policies (1 work) · Engineering (1 work) · Environmental health (1 work)