Abstract The application of Artificial Intelligence (AI) in environmental monitoring offers
accurate disaster forecasts, pollution source detection, and comprehensive air and water …

Urban landscapes, characterized by intricate interactions within a three-dimensional (3D)
framework, give rise to complex mechanisms that underlie the Surface Urban Heat Island …

The pressing issue of global warming is particularly evident in urban areas, where urban
thermal islands amplify the warming effect. Understanding land surface temperature (LST) …

Rapid urbanization has altered the environment and climate, necessitating a thorough grasp
of urban thermal dynamics for sustainable development. The lack of detailed urban …

Enhancing pedestrian-level outdoor thermal comfort (OTC) and walkability in urban
environments is vital for mitigating thermal risks induced by global warming. This study …

Built environment attributes (BEAs) play a significant role in influencing urban heat
resilience (UHR). Previous research has examined the correlations and nonlinear …

Traditional methods for assessing urban thermal environments (UTEs) often rely on GIS and
remote sensing data, suffering from data limitations in coverage, accuracy, and availability …

Data-driven models have been widely used in building heating load prediction, but often fail
when facing limited data. Previous studies have shown transfer learning can assist model …

Urban drought, a subtype of socio-economic drought, has received limited attention
compared to other types. Given the shifts in water supply patterns due to global climate …

Generating architectural layouts from sites to flats, encompassing site layouts (SLs), building
layouts (BLs), and flat layouts (FLs), presents a complex process. Notably, the BL generation …