This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...

SimCraft is designed for academic research, industrial applications, and integration with optimization algorithms including reinforcement learning. It provides a clean, extensible API for building ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

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Abstract: This paper presents an efficient method for reconfiguring active distribution networks. It utilizes Discrete Quantum Predator-Prey Brain Storm Optimization (DQPPBSO), which combines Quantum ...

Neural networks have long been powerful tools for handling complex data-driven tasks. Still, they often struggle to make discrete decisions under strict constraints, like routing vehicles or ...

This is part two of a two-part series that examines DOGE's actions so far and what the future holds for the temporary agency. Read part one here.Part two examines the efficacy of the agency and what ...

Abstract: There has been a long recognition that discrete features (n-gram features) and neural network based features have complementary strengths for language models (LMs). Improved performance can ...