A5011154592- Grey System Theory Applications
- Air Quality and Health Impacts
- Energy, Environment, and Transportation Policies
- Climate Change and Health Impacts
- Air Quality Monitoring and Forecasting
- Hydrology and Sediment Transport Processes
- Hydrological Forecasting Using AI
- Hydrology and Watershed Management Studies
- Energy Load and Power Forecasting
- Soil erosion and sediment transport
- Neural Networks and Applications
- Energy, Environment, Economic Growth
- Stock Market Forecasting Methods
- Time Series Analysis and Forecasting
Nanjing University of Aeronautics and Astronautics
2022-2024
Queen's University Belfast
2024
Time Series Forecasting (TSF) aims at predicting future values for a time series data and plays crucial role in many real-world applications, e.g., finance, disease spread, or weather predictions. However, it is also very challenging task due to complex temporal dependencies the data, especially long-term forecasting. In this paper, we introduce WaveletMixer, an iterative multi-levels, multi-resolutions multi-phases approach effectively capture of multivariate both global local perspectives...
The Mekong River Basin (MRB) is one of the highest biodiversity areas in world and vital source livelihoods for more than 60 millions people over six countries Southeast Asia. However, it suffering from a severe sediment starvation problem caused by climate change human activities, particularly dam constructions. Understanding long-term changes thus plays crucial role management contingency plans. Current concentration data MRB are extremely sporadic, making non-trivial task to analyze them....
The Mekong River Basin (MRB) is crucial for the livelihoods of over 60 million people across six Southeast Asian countries. Understanding long-term sediment changes management and contingency plans, but concentration data in MRB are extremely sporadic, making analysis challenging. This study focuses on reconstructing suspended (SSC) using a novel semi-supervised machine learning (ML) model. key idea this approach to exploit abundant available hydroclimate reduce training overfitting rather...