A5035954532- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Vehicle emissions and performance
- Target Tracking and Data Fusion in Sensor Networks
- Land Use and Ecosystem Services
- Energy, Environment, Economic Growth
- Urban Transport and Accessibility
- Industrial Technology and Control Systems
- Advanced Computational Techniques and Applications
- Urban Heat Island Mitigation
- Insurance and Financial Risk Management
- Atmospheric chemistry and aerosols
- Water Quality Monitoring Technologies
- Economic and Environmental Valuation
- Advanced Sensor and Control Systems
- Gaussian Processes and Bayesian Inference
- Simulation and Modeling Applications
- Probability and Risk Models
- Machine Learning and ELM
- Stochastic processes and financial applications
- Advanced Measurement and Detection Methods
- Anomaly Detection Techniques and Applications
- Climate Change and Health Impacts
North Minzu University
2008-2023
Xi'an Jiaotong University
2016-2017
Institute for Ethnic Studies
2010
Science North
2008-2009
Northwestern Polytechnical University
2006
With the development of economy and society all over world, most metropolitan cities are experiencing elevated concentrations ground-level air pollutants. It is urgent to predict evaluate concentration pollutants for some local environmental or health agencies. Feed-forward artificial neural networks have been widely used in prediction concentration. However, there drawbacks, such as low convergence rate minimum. The extreme learning machine single hidden layer feed-forward tends provide...
Air pollution has not received much attention until recent years when people started to understand its dreadful impacts on human health. According air and the meteorological monitoring data from 1 January 2016 31 December 2017 in Ningxia, we analyzed impact of ground surface temperature, relative humidity power wind pollutant concentrations. Meanwhile, analyze relationships between concentrations variables by using mathematical model decision tree regressor (DTR), feedforward artificial...
The problem of air pollution has attracted more and attention. PM2.5 is a key factor affecting quality. In order to improve the prediction accuracy concentration make people effectively control generation propagation atmospheric pollutants, in this paper, long short-term memory neural network (LSTM) model based on principal component analysis (PCA) attention mechanism (attention) constructed, which first uses PCA reduce dimension data, eliminate correlation effect between indicators,...