- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Iron and Steelmaking Processes
- Traffic Prediction and Management Techniques
- Neural Networks and Applications
- Impact of Light on Environment and Health
- Advanced Decision-Making Techniques
- Vehicle emissions and performance
- Atmospheric chemistry and aerosols
- Advanced Algorithms and Applications
- Simulation and Modeling Applications
- Computer Graphics and Visualization Techniques
- Energy Load and Power Forecasting
- Atmospheric and Environmental Gas Dynamics
Ningbo University
2023-2025
Air quality issues have become a major environmental concern, with severe air pollution significantly reducing and posing threats to human health. Accurate prediction is crucial for preventing individuals from suffering the detrimental effects of pollution. Recently, deep learning methods based on spatiotemporal graph neural networks (GNNs) made considerable progress in modeling temporal spatial dependencies within data by integrating GNNs sequential models. Unfortunately, previous work...
The profound impacts of severe air pollution on human health, ecological balance, and economic stability are undeniable. Precise quality forecasting stands as a crucial necessity, enabling governmental bodies vulnerable communities to proactively take essential measures reduce exposure detrimental pollutants. Previous research has primarily focused predicting using only time-series data. However, the importance remote-sensing image data received limited attention. This paper proposes new...
The temperature inside the furnace plays a crucial role in determining quality of sinter ore iron sintering process. In practical production, bellows, which is directly connected to bed layer, indirectly reflects furnace. A stable bellows temperature, especially at location Burn-Through Point, essential for reducing gas emissions, improving carbon efficiency, and enhancing sintered ore. This paper proposed Model Reference Adaptive Control (MRAC) intelligent control system based on...