A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, ...
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Scheduling smarter: Combining technology and policy for more pleasant, equitable commuting
As housing costs push workers farther from their jobs, UCSC researchers are developing smart scheduling technology to ease ...
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