2 citations · 2 across the 7 of their papers we have counts for
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cs.MS2023
AsaPy: A Python Library for Aerospace Simulation Analysis
Joao P. A. Dantas, Samara R. Silva, Vitor C. F. Gomes +5
AsaPy is a custom-made Python library designed to simplify and optimize the analysis of aerospace simulation data. Instead of introducing new methodologies, it excels in combining…
cs.CY2023★ 2 cited
ASA-SimaaS: Advancing Digital Transformation through Simulation Services in the Brazilian Air Force
Joao P. A. Dantas, Diego Geraldo, Andre N. Costa +2
This work explores the use of military simulations in predicting and evaluating the outcomes of potential scenarios. It highlights the evolution of military simulations and the inc…