Yongchao Song
Biographic Data
| ID | 9965966 |
|---|---|
| NAME | Yongchao Song |
| GIVEN NAMES | Yongchao |
| FAMILY NAME | Song |
| SIGNATURE | SONG Y |
| AFFILIATIONS | Yantai University |
| ORCID | 0000-0002-5737-368X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Vitamin D deficiency among apparently healthy adults in northern China
Background/objectives Vitamin D deficiency is not confined to traditionally defined high-risk groups, yet its prevalence and modifiable behavioral correlates among apparently healthy adults remain poorly characterized, particularly in northern China. This study assessed vitamin D status among adults undergoing routine health examinations in Hebei Province and examined whether modifiable behavioral factors were independently associated with defici…
Federated Graph Neural Networks Based on Multiscale Residuals in Industrial Internet of Things
The industrial internet of things (IIoT) plays a crucial role in manufacturing, logistics, and equipment management. Graph neural networks (GNNs) can effectively model graph-structured data and have received widespread attention in IIoT applications. However, existing methods face key challenges. First, IIoT data typically contains sensitive information, making it difficult to conduct centralized training on dispersed data. Second, the current mo…
A Novel Lane Line Detection Algorithm for Driverless Geographic Information Perception Using Mixed-Attention Mechanism ResNet and Row Anchor Classification
Lane line detection is a fundamental and critical task for geographic information perception of driverless and advanced assisted driving. However, the traditional lane line detection method relies on manual adjustment of parameters, and has poor universality, a heavy workload, and poor robustness. Most deep learning-based methods make it difficult to effectively balance accuracy and efficiency. To improve the comprehensive perception ability of l…
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A Novel Lane Line Detection Algorithm for Driverless Geographic Information Perception Using Mixed-Attention Mechanism ResNet and Row Anchor Classification
Lane line detection is a fundamental and critical task for geographic information perception of driverless and advanced assisted driving. However, the traditional lane line detection method relies on manual adjustment of parameters, and has poor universality, a heavy workload, and poor robustness. Most deep learning-based methods make it difficult to effectively balance accuracy and efficiency. To improve the comprehensive perception ability of l…
Federated Graph Neural Networks Based on Multiscale Residuals in Industrial Internet of Things
The industrial internet of things (IIoT) plays a crucial role in manufacturing, logistics, and equipment management. Graph neural networks (GNNs) can effectively model graph-structured data and have received widespread attention in IIoT applications. However, existing methods face key challenges. First, IIoT data typically contains sensitive information, making it difficult to conduct centralized training on dispersed data. Second, the current mo…
Vitamin D deficiency among apparently healthy adults in northern China
Background/objectives Vitamin D deficiency is not confined to traditionally defined high-risk groups, yet its prevalence and modifiable behavioral correlates among apparently healthy adults remain poorly characterized, particularly in northern China. This study assessed vitamin D status among adults undergoing routine health examinations in Hebei Province and examined whether modifiable behavioral factors were independently associated with defici…
Artificial Intelligence (2 works) · Computer Science (2 works) · Advanced Graph Neural Networks (1 work) · Advanced Memory and Neural Computing (1 work) · Advanced Neural Network Applications (1 work) · Algorithm (1 work) · Artificial neural network (1 work) · Autonomous Vehicle Technology and Safety (1 work) · Computer network (1 work) · Computer security (1 work)