Publications by authors named "Weijia Bei"
Article Synopsis
- Human thermal stress indices are crucial for public health and environmental management, especially due to climate change and extreme weather events.
- Current thermal indices often fail to capture the variability of thermal comfort over time, and there is a lack of comprehensive, high-resolution global datasets.
- A new metric called Thermal Stress Duration (TSD) has been introduced, alongside a high-resolution dataset (HiGTS) that provides hourly maps of thermal stress metrics across the globe from 2000 to 2023.
Graph learning methods, especially graph convolutional networks, have been investigated for their potential applicability in many fields of study based on topological data. Their topological data processing capabilities have proven to be powerful. However, the relationships among separate entities include not only topological adjacency, but also correlation in vision, for example, the spatial vector data of buildings.
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