A5100678902- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Vehicle emissions and performance
- Geotourism and Geoheritage Conservation
- Impact of Light on Environment and Health
- Evaluation Methods in Various Fields
- Urban Transport and Accessibility
- Energy Load and Power Forecasting
- Atmospheric chemistry and aerosols
- Stochastic processes and financial applications
- Wind and Air Flow Studies
- Ecology and Conservation Studies
- Structural Engineering and Vibration Analysis
- Optical Systems and Laser Technology
- Remote Sensing and LiDAR Applications
- Educational Reforms and Innovations
- Advanced Decision-Making Techniques
- Traffic Prediction and Management Techniques
- Wind Energy Research and Development
- Financial Markets and Investment Strategies
- Vibration and Dynamic Analysis
- Noise Effects and Management
- Wireless Communication Networks Research
- Optical Wireless Communication Technologies
- Electrical and Bioimpedance Tomography
University of Hong Kong
2019-2025
Beijing Urban Systems Engineering Research Center
2024
Qinghai Normal University
2024
Hong Kong University of Science and Technology
2019-2024
Nanjing Product Quality Supervision and Inspection Institute
2023
Northeastern University
2023
China Railway Fifth Survey and Design Institute Group
2019
National University of Singapore
2019
Northwest Minzu University
2017
China South Industries Group (China)
2016
As air pollution becomes an increasing concern globally, governments, and research institutions have attached great importance to quality prediction help give early warnings prevent the impacts of pollution. The existing methods for forecasting include deterministic methods, statistical machine learning, deep learning methods. Deep learning-based attracted much attention these years due its high performance powerful modeling capability. However, majority only focus on places where there...
The intersection of environmental justice and urban accessibility presents a critical challenge in sustainable city planning. While the “15-minute city” concept has emerged as prominent framework for promoting walkable neighborhoods, its implications exposure inequalities remain underexplored. This study introduces an innovative methodology assessing air pollution disparities within context 15-minute activity zones New York City. By integrating street-level PM2.5 predictions with spatial...
Understanding and predicting urban vitality—the intensity diversity of human activities in spaces—is crucial for sustainable development. However, existing studies often rely on discrete sampling points single metrics, limiting their ability to capture the continuous spatial distribution vibrancy. This study introduces UVPN (urban vitality prediction network), a novel deep-learning architecture designed generate high-resolution predictions static dynamic at regional scales. The integrates...
Electrostatic sensing technology in combination with cross-correlation signal processing techniques offers a promising and cost effective solution to the on-line continuous velocity measurement of particles stack. This paper presents principle, design evaluation novel instrumentation system, called `StackFlow 2000', which has recently been developed for Experiments aloxite, building plaster icing sugar as test materials were conducted on 300 mm bore stack-flow facility over range 2.5 22 m...
The lattice Boltzmann method (LBM) has been widely employed in various areas of practical engineering to solve non-linear problems, due such advantages as the simplicity programming and numerical efficiency. In this paper, a new for one-dimensional (1D) consolidation analysis saturated clay is proposed on basis method. At first, Bhatnagar–Gross–Krook (LBGK) model used 1D problem subjected time-dependent loading under different types initial boundary conditions. addition, multiscale...
Traffic sign is a critical map feature for navigation and traffic control. Nevertheless, current methods recognition rely on traditional deep learning models, which typically suffer from significant performance degradation considering the variations in data distribution across different regions. In this paper, we propose TSCLIP, robust fine-tuning approach with contrastive language-image pre-training (CLIP) model worldwide cross-regional recognition. We first curate benchmark dataset by...
The hub-spoke tethered formation system (HS-TFS) is attractive in many space applications, such as multi-point measurements, providing flexible frame for solar sail and other membrane or net structures. To utilize the specific advantages of system, reduction fuel consumption, promotion stability, HS-TFS usually designed a rotating system. However, motion will increase complexity control HS-TFS. In this paper, investigated. First, an analytical model based on several reasonable assumptions...