- Building Energy and Comfort Optimization
- Wind and Air Flow Studies
- Air Quality and Health Impacts
- Urban Heat Island Mitigation
- Air Quality Monitoring and Forecasting
- Vehicle emissions and performance
- Indoor Air Quality and Microbial Exposure
- Noise Effects and Management
- Meteorological Phenomena and Simulations
- Environmental Impact and Sustainability
- Tropical and Extratropical Cyclones Research
- Odor and Emission Control Technologies
- Traffic Prediction and Management Techniques
- Ocean Waves and Remote Sensing
- Climate Change and Health Impacts
- Urban Transport and Accessibility
- Aerodynamics and Fluid Dynamics Research
- Rare-earth and actinide compounds
- Asthma and respiratory diseases
- Congenital heart defects research
- Refrigeration and Air Conditioning Technologies
- Fire effects on ecosystems
- Viral Infections and Vectors
- Machine Learning and ELM
- Oceanographic and Atmospheric Processes
Harbin Medical University
2025
First Affiliated Hospital of Harbin Medical University
2025
Beijing Municipal Ecological and Environmental Monitoring Center
2025
Chongqing University
2017-2024
Hubei Provincial Center for Disease Control and Prevention
2024
State Key Joint Laboratory of Environment Simulation and Pollution Control
2023-2024
Tsinghua University
2022-2024
Ministry of Science and Technology of the People's Republic of China
2022-2023
University of Reading
2019-2021
National Marine Environmental Forecasting Center
2021
Many studies have investigated the associations between household damp indicators, and allergies respiratory diseases in childhood. However, findings are rather inconsistent. In 2010, we conducted a cross-sectional study of preschoolers aged three-six years three urban districts Chongqing, China. 2019, repeated this with same ages districts. Here, selected data for 2935 2717 who did not change residences since birth 2010 2019 studies, respectively. We indicators asthma, allergic rhinitis,...
This paper investigated the concentrations of eight types indoor VOCs – benzene, toluene, xylenes, butyl acetate, styrene, isopropylbenzene, undecane and formaldehyde.
摘要:
Short-term traffic flow forecasting has been a crucial component in the area of intelligent transportation systems (ITS), which plays significant role operating management and dynamic assignment effectively as well proactively. In this paper, novel short-term prediction method called Ensemble Real-time Sequential Extreme Learning Machine (ERS-ELM) with simplified single layer feed- forward networks (SLFN) structure under freeway peak condition non-stationary is proposed. By quickly training...