Yinghui Zhou
Biographic Data
| ID | 9258791 |
|---|---|
| NAME | Yinghui Zhou |
| GIVEN NAMES | Yinghui |
| FAMILY NAME | Zhou |
| SIGNATURE | ZHOU Y |
| AFFILIATIONS | University of Aizu |
| ORCID | 0000-0003-1347-737X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Associations between month/season of birth and health outcomes
The Impact of Declining Fertility Rates on Higher Education
Declining fertility rates are decreasing college-aged populations and placing sustained pressure on higher education systems worldwide. This study examines how long-term demographic contraction brings recurring system-level challenges, using Germany, the United States, South Korea, and Japan as illustrative examples. Drawing on secondary data from official demographic and higher education statistics, the study applies a data-informed analytical a…
An Emotion Recognition Method Based on Eye Movement and Audiovisual Features in Mooc Learning Environment
In recent years, more and more people have begun to use massive online open course (MOOC) platforms for distance learning. However, due to the space–time isolation between teachers and students, the negative emotional state of students in MOOC learning cannot be identified timely. Therefore, students cannot receive immediate feedback about their emotional states. In order to identify and classify learners’ emotions in video learning scenarios, we…
A Spiral Step-by-Step Educational Method for Cultivating Competent Embedded System Engineers to Meet Industry Demands
Embedded system technologies are undergoing dramatic change. Competent embedded system engineers are becoming a scarce resource in the industry. Given this, universities should revise their specialist education to meet industry demands. In this paper, a spirally tight-coupled step-by-step educational method, based on an analysis of industry requirements, is proposed. The learning process consists of multiple learning circles piled up in a spiral.…
No prominent works on this page.
A Spiral Step-by-Step Educational Method for Cultivating Competent Embedded System Engineers to Meet Industry Demands
Embedded system technologies are undergoing dramatic change. Competent embedded system engineers are becoming a scarce resource in the industry. Given this, universities should revise their specialist education to meet industry demands. In this paper, a spirally tight-coupled step-by-step educational method, based on an analysis of industry requirements, is proposed. The learning process consists of multiple learning circles piled up in a spiral.…
An Emotion Recognition Method Based on Eye Movement and Audiovisual Features in Mooc Learning Environment
In recent years, more and more people have begun to use massive online open course (MOOC) platforms for distance learning. However, due to the space–time isolation between teachers and students, the negative emotional state of students in MOOC learning cannot be identified timely. Therefore, students cannot receive immediate feedback about their emotional states. In order to identify and classify learners’ emotions in video learning scenarios, we…
Associations between month/season of birth and health outcomes
The Impact of Declining Fertility Rates on Higher Education
Declining fertility rates are decreasing college-aged populations and placing sustained pressure on higher education systems worldwide. This study examines how long-term demographic contraction brings recurring system-level challenges, using Germany, the United States, South Korea, and Japan as illustrative examples. Drawing on secondary data from official demographic and higher education statistics, the study applies a data-informed analytical a…
Computer Science (2 works) · Advanced Computing and Algorithms (1 work) · Artificial Intelligence (1 work) · Birth rate (1 work) · Boredom (1 work) · Computer vision (1 work) · Convolutional neural network (1 work) · Core (optical fiber) (1 work) · Corporate governance (1 work) · Deep learning (1 work)