Accurate and timely short-term forecasting of gridded PM2.5 concentrations is essential for air-quality management and public health protection, especially for the growing elderly population who are particularly vulnerable to air pollution. Advances in multi-source environmental data and deep learning have substantiall...
Accurate precipitation observation in high-altitude regions is of paramount importance for understanding climate variability and mitigating extreme hazards. However, obtaining reliable precipitation measurements in these areas remains a formidable challenge due to sparse gauge networks, complex topography, and intricat...
A sensing information-assisted superimposed pilot channel estimation method is proposed in UAV orthogonal frequency division multiplexing systems that achieves rapid convergence and optimal symbol detection performance at a low pilot power ratio, effectively improving spectral efficiency in dynamic UAV communication sc...