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Supervised Machine Learning for Effective Missile Launch Based on Beyond
  Visual Range Air Combat Simulations

Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations

9 July 2022
Joao P. A. Dantas
André N. Costa
F. E. L. Medeiros
Diego Geraldo
Marcos R. O. A. Máximo
Takashi Yoneyama
ArXiv (abs)PDFHTML

Papers citing "Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations"

4 / 4 papers shown
Title
ASA: A Simulation Environment for Evaluating Military Operational
  Scenarios
ASA: A Simulation Environment for Evaluating Military Operational Scenarios
Joao P. A. Dantas
André N. Costa
Vitor Gomes
A. R. Kuroswiski
F. E. L. Medeiros
Diego Geraldo
24
10
0
23 Jun 2022
Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep
  Neural Network
Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network
Joao P. A. Dantas
André N. Costa
Diego Geraldo
Marcos R. O. A. Máximo
Takashi Yoneyama
29
14
0
04 Nov 2021
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced
  Datasets in Machine Learning
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
G. Lemaître
Fernando Nogueira
Christos K. Aridas
79
2,068
0
21 Sep 2016
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
374
25,678
0
09 Jun 2011
1