Feb. 6, 2024, 5:41 a.m. | Mst. Shamima Hossain Christos Faloutsos Boris Baer Hyoseung Kim Vassilis J. Tsotras

cs.LG updates on arXiv.org arxiv.org

Honeybees are vital for pollination and food production. Among many factors, extreme temperature (e.g., due to climate change) is particularly dangerous for bee health. Anticipating such extremities would allow beekeepers to take early preventive action. Thus, given sensor (temperature) time series data from beehives, how can we find patterns and do forecasting? Forecasting is crucial as it helps spot unexpected behavior and thus issue warnings to the beekeepers. In that case, what are the right models for forecasting? ARIMA, RNNs, …

change climate climate change cs.lg data electronic food food production forecasting health mining production sensor series time series vital

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