Abstract: Accurate and continuous extraction of ice layer structures from airborne ice sounding radar data is critical for analyzing subglacial hydrothermal environments to support key applications ...
Abstract: Meteorological data prediction belongs to the category of spatio-temporal data prediction, which is usually based on the radar image sequence of the past period to predict the radar image ...
Abstract: Consumer Electronics Data Fusion (CEDF) integrates diverse and heterogeneous consumer-generated data, crucial for advancing innovation, user experience, and decision-making in Consumer ...
Abstract: Radio echo sounding (RES), a powerful remote geophysical technique, provides excellent insight into the characterization of subglacial environment. However, existing time-domain RES imaging ...
Abstract: Land surface temperature (LST) is a key factor in monitoring and improving thermal environments. However, conventional LST retrieval algorithms have not sufficiently accounted for the cavity ...
Abstract: Identifying anomalies in Phasor Measurement Unit (PMU) data is of critical importance. Existing methods can be broadly categorized into model-based and data-driven ones. The former requires ...
Creating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability. A promising strategy to mitigate these ...
Abstract: When aero-engine inter-shaft bearing operate under extreme conditions, the detection of their faults is crucial for system reliability. However, due to the weak fault signals and strong ...
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