David Carramiñana

According to our database, David Carramiñana authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance.

Raúl Arranz, David Carramiñana, Gonzalo de Miguel, Juan A. Besada, Ana M. Bernardos

Sensors, October, 2023

A Realistic UAS Traffic Generation Tool to Evaluate and Optimize U-Space Airspace Capacity.

Daniel Raposo, David Carramiñana, Juan A. Besada, Ana M. Bernardos

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Managing Pandemics Through Agent-Based Simulation: A Case Study Based on COVID-19.

César Alberte, David Carramiñana, Ana M. Bernardos, Juan A. Besada

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Enhancing Health Care Infrastructure Resiliency Through an Agent-Based Simulation Methodology.

David Carramiñana, Ana M. Bernardos, Juan A. Besada, José R. Casar

Proceedings of the International Conference on Information and Communication Technologies for Disaster Management, 2023

2022

Review and Simulation of Counter-UAS Sensors for Unmanned Traffic Management.

Juan A. Besada, Iván Campaña, David Carramiñana, Luca Bergesio, Gonzalo de Miguel

Sensors, 2022

Modelling and Simulation of Collaborative Surveillance for Unmanned Traffic Management.

Juan A. Besada, David Carramiñana, Luca Bergesio, Iván Campaña, Ana M. Bernardos

Sensors, 2022

2021

Sensors and Communication Simulation for Unmanned Traffic Management.

David Carramiñana, Iván Campaña, Luca Bergesio, Ana M. Bernardos, Juan A. Besada

Sensors, 2021