A total of 148 variables were selected for predicting the 3 trajectories. Four machine learning algorithms with 3 different setups were used. We estimated the uncertainty of the model outputs using ...
Abstract: The project portfolio selection and scheduling problem (PPSSP) aims to select and schedule a set of projects, known as a portfolio, to maximize their benefits while adhering to various ...
Abstract: Scientific and data science applications are becoming more complex, with increasingly demanding computational and memory requirements during execution. Modern high performance computing (HPC ...
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