activity
20212023
most citedASA-SimaaS: Advancing Digital Transformation through Simulation Services in the Brazilian Air Force

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2023

Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning

Joao P. A. Dantas, Diego Geraldo, Felipe L. L. Medeiros +2

Surface-to-Air Missiles (SAMs) are crucial in modern air defense systems. A critical aspect of their effectiveness is the Engagement Zone (EZ), the spatial region within which a SA…

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…

cs.LG2022

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…

cs.DC2022

ASA: A Simulation Environment for Evaluating Military Operational Scenarios

Joao P. A. Dantas, Andre N. Costa, Vitor C. F. Gomes +10

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…

cs.LG2021

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…

cs.AI2021

Engagement Decision Support for Beyond Visual Range Air Combat

Joao P. A. Dantas, Andre N. Costa, Diego Geraldo +2

This work aims to provide an engagement decision support tool for Beyond Visual Range (BVR) air combat in the context of Defensive Counter Air (DCA) missions. In BVR air combat, en…