Abstract: Entity resolution is an important task in data integration and data cleaning. This study explores how graph-based techniques can address the challenges of data availability and label quality ...
Abstract: Machine learning has been considered a promising approach for indoor localization. Nevertheless, the sample efficiency, scalability, and generalization ability remain open issues of ...
The forecasting skill of numerical weather prediction (NWP) models critically depends on the accurate initial conditions, also known as analysis, provided by data assimilation (DA). Traditional DA ...
Global broking group Aon’s Reinsurance Solutions team recently designed and placed the very first data centre specific treaty, and the company is actively engaged with other insurers as it continues ...
Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...
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