Yindan Zhang
Biographic Data
| ID | 6588353 |
|---|---|
| NAME | Yindan Zhang |
| GIVEN NAMES | Yindan |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG Y |
| AFFILIATIONS | Business School Henan University Kaifeng People's Republic of China |
| ORCID | 0009-0000-2786-7999 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
CausalSolar
Society 5.0 versus Industry 5.0
The research on Society 5.0 (s5.0) and Industry 5.0 (i5.0) is a relatively new and emerging domain where researchers are still striving to explore the influence within distinct contexts, worldwide. The study investigates the impact of two major models of industrialization, that is, s5.0 and i5.0 to understand the insights into how it triggers the firms' sustainable development by showing empirical examinations from the Chinese industrial sector d…
Cascaded Attention DenseUNet (Cadunet) for Road Extraction from Very-High-Resolution Images
The use of very-high-resolution images to extract urban, suburban and rural roads has important application value. However, it is still a problem to effectively extract the road area occluded by roadside tree canopy or high-rise buildings to maintain the integrity of the extracted road area, the smoothness of the sideline and the connectivity of the road network. This paper proposes an innovative Cascaded Attention DenseUNet (CADUNet) semantic se…
Society 5.0 versus Industry 5.0
The research on Society 5.0 (s5.0) and Industry 5.0 (i5.0) is a relatively new and emerging domain where researchers are still striving to explore the influence within distinct contexts, worldwide. The study investigates the impact of two major models of industrialization, that is, s5.0 and i5.0 to understand the insights into how it triggers the firms' sustainable development by showing empirical examinations from the Chinese industrial sector d…
Cascaded Attention DenseUNet (Cadunet) for Road Extraction from Very-High-Resolution Images
The use of very-high-resolution images to extract urban, suburban and rural roads has important application value. However, it is still a problem to effectively extract the road area occluded by roadside tree canopy or high-rise buildings to maintain the integrity of the extracted road area, the smoothness of the sideline and the connectivity of the road network. This paper proposes an innovative Cascaded Attention DenseUNet (CADUNet) semantic se…
Society 5.0 versus Industry 5.0
The research on Society 5.0 (s5.0) and Industry 5.0 (i5.0) is a relatively new and emerging domain where researchers are still striving to explore the influence within distinct contexts, worldwide. The study investigates the impact of two major models of industrialization, that is, s5.0 and i5.0 to understand the insights into how it triggers the firms' sustainable development by showing empirical examinations from the Chinese industrial sector d…
CausalSolar
Computer Science (2 works) · Artificial Intelligence (1 work) · Automated Road and Building Extraction (1 work) · Building Energy and Comfort Optimization (1 work) · Business (1 work) · Computer vision (1 work) · Data mining (1 work) · Digital Transformation in Industry (1 work) · Empirical examination (1 work) · Empirical research (1 work)