Jiaojiao Gu
Biographic Data
| ID | 7931873 |
|---|---|
| NAME | Jiaojiao Gu |
| GIVEN NAMES | Jiaojiao |
| FAMILY NAME | Gu |
| SIGNATURE | GU J |
| AFFILIATIONS | Naval Aeronautical and Astronautical University |
| ORCID | 0000-0003-3181-0500 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
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…
The Effects of Intensive Nutrition Education on Late Middle-Aged Adults with Type 2 Diabetes
Intensive nutrition education has significant effects on blood glucose control in late middle-aged adults with type 2 diabetes. Intensive education can cultivate good diet habits and increase physical activity, which are important for diabetes patients in the short and long terms. These findings may contribute to improving education methodology and nutrition therapy in patients with type 2 diabetes
No prominent works on this page.
The Effects of Intensive Nutrition Education on Late Middle-Aged Adults with Type 2 Diabetes
Intensive nutrition education has significant effects on blood glucose control in late middle-aged adults with type 2 diabetes. Intensive education can cultivate good diet habits and increase physical activity, which are important for diabetes patients in the short and long terms. These findings may contribute to improving education methodology and nutrition therapy in patients with type 2 diabetes
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…
Advanced Graph Neural Networks (1 work) · Advanced Memory and Neural Computing (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Body mass index (1 work) · Computer network (1 work) · Computer Science (1 work) · Computer security (1 work) · Diabetes Management and Education (1 work) · Diabetes Management and Research (1 work)