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Hikers' smartphone data can now directly trigger and guide UAVs for precise mountain rescues, bypassing manual data interpretation and delays.
GLAIM achieves state-of-the-art imputation performance by seamlessly combining stable global and adaptive local inter-variable dependencies, setting a new benchmark for handling multivariate time series with missing data.
A masking autoencoder can enable energy-efficient and accurate sound detection on UAVs for search and rescue, potentially saving lives.