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- W4387348810 abstract "AsaPy is a custom-made Python library designed to simplify and optimize the analysis of simulation data. It offers a range of features, including the design of experiment methods, statistical analysis techniques, machine learning algorithms, and data visualization tools. AsaPy's flexibility and customizability make it a viable solution for engineers and researchers who need to quickly gain insights into constructive simulations. AsaPy is built on top of popular scientific computing libraries, ensuring high performance and scalability. In this work, we provide an overview of the key features and capabilities of AsaPy, followed by an exposition of its architecture and demonstrations of its effectiveness through some use cases applied in military operational simulations. We also evaluate how other simulation tools deal with data science, highlighting AsaPy's strengths and advantages. Finally, we discuss potential use cases and applications of AsaPy and outline future directions for the development and improvement of the library." @default.
- W4387348810 created "2023-10-05" @default.
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- W4387348810 date "2023-07-11" @default.
- W4387348810 modified "2023-10-06" @default.
- W4387348810 title "AsaPy: A Python Library for Aerospace Simulation Analysis" @default.
- W4387348810 doi "https://doi.org/10.48550/arxiv.2310.00001" @default.
- W4387348810 hasPublicationYear "2023" @default.
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