BACKGROUND: Sudden cardiac arrest disproportionately affects youths from lower socioeconomic neighborhoods, yet the ...

Implementation of numerical optimization algorithms in MATLAB, including derivative-free and gradient-based methods for unconstrained problems, and projection techniques for constrained optimization.

Forecasting, a fundamental task in machine learning, involves predicting future values of a time series based on its historical behavior. This paper introduces a novel Hierarchical Patch Based ...

As pressure to reduce costs increases, CFOs have an opportunity to deepen their cross-functional influence and fortify their advisory role to the CEO and other C-suite leaders. Capitalizing on this ...

Abstract: The binary polarization state analyzer (PSA) made of magnetooptic crystal (MO) rotators is a promising technology for achieving low-cost and high-efficiency state of polarization (SOP) ...

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With the rapid development and increased demand for renewable energy sources, standalone hybrid generation systems have become an essential energy solution. Power optimization control is thus critical ...

Problem definition: Assortment selection is one of the most important decisions faced by retailers. Most existing papers in the literature assume that customers select at most one item out of the ...