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Predicting CPU workload from customer service requests can improve forecasting accuracy and operational efficiency in cloud environments.
Transfer learning in avian bioacoustics reveals that weak supervision and negative transfer are critical challenges, with significant implications for biodiversity monitoring accuracy.