Abstract: Accurate forecasts of nursing staff capacity have the potential to support shift planners in creating optimal schedules for nursing staff, which is crucial for job satisfaction and quality ...
A) Retail/E-commerce inventory (forecasting product demand for stores or online sales) B) Manufacturing raw materials (forecasting material needs for production) C) Distribution/logistics (forecasting ...
This project focuses on short-term temperature prediction using data collected from a self-built weather station. The station continuously recorded environmental parameters such as temperature, ...
ABSTRACT: This paper aims at providing an in-depth analysis of forecasting ability of different GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models and finding the best GARCH ...
ABSTRACT: Forecasting future expected returns out-of-sample is challenging due to some statistical characteristics, such as the stochastic and dynamic nature in the time series. Conventional machine ...
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