3 papers
cs.LG2026
Forecasting Ionospheric Irregularities on GNSS Lines of Sight Using Dynamic Graphs with Ephemeris Conditioning
Mert Can Turkmen, Eng Leong Tan, Yee Hui Lee
Most data-driven ionospheric models operate on gridded products, which do not preserve the time-varying sampling structure of satellite-based sensing. We instead model the ionosphe…
eess.SP2026
A Migration-Assisted Deep Learning Scheme for Imaging Defects Inside Cylindrical Structures via GPR: A Case Study for Tree Trunks
Jiwei Qian, Yee Hui Lee, Kaixuan Cheng +5
Ground-penetrating radar (GPR) has emerged as a prominent tool for imaging internal defects in cylindrical structures, such as columns, utility poles, and tree trunks. However, acc…
cs.CV2025
UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image Segmentation
Yijie Li, Hewei Wang, Shaofan Wang +3
Recent advancements in meteorology involve the use of ground-based sky cameras for cloud observation. Analyzing images from these cameras helps in calculating cloud coverage and un…