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: 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: 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: Molecule graph generation plays a crucial role in the field of drug discovery, as it can significantly expedite the identification and development of potential drug candidates. Although many ...
Abstract: Identifying high-value customers and providing quality services are essential for the transformation and advancement of power grid enterprises. This paper highlights the strategies necessary ...
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