Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network. - Joao P. A. Dantas; Andre N. Costa; Diego Geraldo; Marcos Ricardo Omena Albuquerque Máximo; Takashi Yoneyama (BRACIS (2), 2021)

Engagement Decision Support for Beyond Visual Range Air Combat. - Joao P. A. Dantas; Andre N. Costa; Diego Geraldo; Marcos R. O. A. Máximo; Takashi Yoneyama (LARS/SBR/WRE, 2021)

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; Diego Geraldo; Marcos R. O. A. Máximo; Takashi Yoneyama (WSC, 2022)

Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem. - Joao P. A. Dantas; Andre N. Costa; Marcos R. O. A. Máximo; Takashi Yoneyama (CoRR, 2022)

ASA: A Simulation Environment for Evaluating Military Operational Scenarios. - Joao P. A. Dantas; Andre N. Costa; Vitor Conrado Faria Gomes; Andre Rossi Kuroswiski; Felipe L. L. Medeiros; Diego Geraldo (CoRR, 2022)

Challenges in Close-Proximity Safe and Seamless Operation of Manned and Unmanned Aircraft in Shared Airspace. - Jay Patrikar; Joao P. A. Dantas; Sourish Ghosh; Parv Kapoor; Ian Higgins; Jasmine Jerry Aloor; Ingrid Navarro; Jimin Sun; Ben Stoler; Milad Moghassem Hamidi; Rohan Baijal; Brady G. Moon; et al. (CoRR, 2022)

Formation control method based on artificial potential fields for aircraft flight simulation. - Andre N. Costa; Felipe L. L. Medeiros; Joao P. A. Dantas; Diego Geraldo; Nei Yoshihiro Soma (Simul., 2022)

Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach. - Joao P. A. Dantas; Marcos R. O. A. Máximo; Takashi Yoneyama (SIGSIM-PADS, 2023)

Learned Tree Search for Long-Horizon Social Robot Navigation in Shared Airspace. - Ingrid Navarro; Jay Patrikar; Joao P. A. Dantas; Rohan Baijal; Ian Higgins; Sebastian A. Scherer; Jean Oh (CoRR, 2023)

ASA-SimaaS: Advancing Digital Transformation through Simulation Services in the Brazilian Air Force. - Joao P. A. Dantas; Diego Geraldo; Andre N. Costa; Marcos Ricardo Omena Albuquerque Máximo; Takashi Yoneyama (CoRR, 2023)

Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning. - Joao P. A. Dantas; Diego Geraldo; Felipe L. L. Medeiros; Marcos R. O. A. Máximo; Takashi Yoneyama (CoRR, 2023)

Loyal Wingman Assessment: Social Navigation for Human-Autonomous Collaboration in Simulated Air Combat. - Joao P. A. Dantas; Marcos R. O. A. Máximo; Takashi Yoneyama (SIGSIM-PADS, 2024)

AsaPy: A Python Library for Aerospace Simulation Analysis. - Joao P. A. Dantas; Samara R. Silva; Vitor Conrado Faria Gomes; Andre N. Costa; Adrisson R. Samersla; Diego Geraldo; Marcos R. O. A. Máximo; Takashi Yoneyama (SIGSIM-PADS, 2024)

TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations. - Jay Patrikar; Joao P. A. Dantas; Brady G. Moon; Milad Moghassem Hamidi; Sourish Ghosh; Nikhil Varma Keetha; Ian Higgins; Atharva Chandak; Takashi Yoneyama; Sebastian A. Scherer (CoRR, 2024)

SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation. - Ingrid Navarro; Jay Patrikar; Joao P. A. Dantas; Rohan Baijal; Ian Higgins; Sebastian A. Scherer; Jean Oh (IEEE Robotics Autom. Lett., 2024)

Simulation and Machine Learning in Beyond Visual Range Air Combat: A Survey. - Andre N. Costa; Joao P. A. Dantas; Edvards Scukins; Felipe L. L. Medeiros; Petter Ögren (IEEE Access, 2025)

Deep Reinforcement Learning Agents With Collective Situational Awareness for Beyond Visual Range Air Combat. - Joao P. A. Dantas; Felipe L. L. Medeiros; Adrisson R. Samersla; Pedro L. R. Botelho; Vitor Conrado Faria Gomes; Samara R. Silva; Yuri D. Ferreira; Alessandro O. Arantes; Marcia Rodrigues Campos de Aquino; Marcos R. O. A. Máximo (IEEE Access, 2025)

Autonomous Aircraft Tactical Pop-Up Attack Using Imitation and Generative Learning. - Joao P. A. Dantas; Marcos R. O. A. Máximo; Takashi Yoneyama (IEEE Access, 2025)