2 citations · 2 across the 7 of their papers we have counts for
7 papers
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…
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…
Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations
Joao P. A. Dantas, Andre N. Costa, Felipe L. L. Medeiros +3
This work compares supervised machine learning methods using reliable data from constructive simulations to estimate the most effective moment for launching missiles during air com…
ASA: A Simulation Environment for Evaluating Military Operational Scenarios
Joao P. A. Dantas, Andre N. Costa, Vitor C. F. Gomes +3
The Aerospace Simulation Environment (Ambiente de Simulação Aeroespacial -- ASA in Portuguese) is a custom-made object-oriented simulation framework developed mainly in C++ that en…
Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem
Joao P. A. Dantas, Andre N. Costa, Marcos R. O. A. Maximo +1
Using an enhanced Self-Organizing Map method, we provided suboptimal solutions to the Traveling Salesman Problem. Besides, we employed hyperparameter tuning to identify the most cr…
Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network
Joao P. A. Dantas, Andre N. Costa, Diego Geraldo +2
This work investigates the use of a Deep Neural Network (DNN) to perform an estimation of the Weapon Engagement Zone (WEZ) maximum launch range. The WEZ allows the pilot to identif…