David Carramiñana

16 papers Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications.
CoRR
Lucas Rey, Ana M. Bernardos, Andrzej D. Dobrzycki, David Carramiñana, Luca Bergesio, Juan A. Besada, José R. Casar
2025 J jnl
Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance.
CoRR
Raúl Arranz, David Carramiñana, Gonzalo de Miguel, Juan A. Besada, Ana M. Bernardos
2025 J jnl
Enhancing healthcare infrastructure resilience through agent-based simulation methods.
Comput. Commun.
David Carramiñana, Ana M. Bernardos, Juan A. Besada, José R. Casar
2025 J jnl
Enhancing healthcare infrastructure resilience through agent-based simulation methods.
CoRR
David Carramiñana, Ana M. Bernardos, Juan A. Besada, José R. Casar
2025 J jnl
Hybrid Artificial Intelligence Strategies for Drone Navigation.
CoRR
Rubén San Segundo, Lucía Angulo, Manuel Gil-Martín, David Carramiñana, Ana M. Bernardos
2025 J jnl
Towards resilient cities: A hybrid simulation framework for risk mitigation through data driven decision making.
CoRR
David Carramiñana, Ana M. Bernardos, Juan A. Besada, José R. Casar
2024 — conf
A digital twin concept to prototype multi-drone based applications.
IoT
David Carramiñana, Lucas Rey Braga, Ana M. Bernardos, Andrzej D. Dobrzycki, Luca Bergesio, Juan A. Besada, José R. Casar
2024 J jnl
A fusion architecture to deliver multipurpose mobile health services.
Comput. Biol. Medicine
Ana González Bermúdez, David Carramiñana, Ana M. Bernardos, Luca Bergesio, Juan A. Besada
2024 J jnl
Towards resilient cities: A hybrid simulation framework for risk mitigation through data-driven decision making.
Simul. Model. Pract. Theory
David Carramiñana, Ana M. Bernardos, Juan A. Besada, José R. Casar
2023 — conf
A Realistic UAS Traffic Generation Tool to Evaluate and Optimize U-Space Airspace Capacity.
SOCO (2)
Daniel Raposo, David Carramiñana, Juan A. Besada, Ana M. Bernardos
2023 J jnl
Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance.
Sensors
Raúl Arranz, David Carramiñana, Gonzalo de Miguel, Juan A. Besada, Ana M. Bernardos
2023 — conf
Enhancing Health Care Infrastructure Resiliency Through an Agent-Based Simulation Methodology.
ICT-DM
David Carramiñana, Ana M. Bernardos, Juan A. Besada, José R. Casar
2023 — conf
Managing Pandemics Through Agent-Based Simulation: A Case Study Based on COVID-19.
SOCO (1)
César Alberte, David Carramiñana, Ana M. Bernardos, Juan A. Besada
2022 J jnl
Modelling and Simulation of Collaborative Surveillance for Unmanned Traffic Management.
Sensors
Juan A. Besada, David Carramiñana, Luca Bergesio, Iván Campaña, Ana M. Bernardos
2022 J jnl
Review and Simulation of Counter-UAS Sensors for Unmanned Traffic Management.
Sensors
Juan A. Besada, Iván Campaña, David Carramiñana, Luca Bergesio, Gonzalo de Miguel
2021 J jnl
Sensors and Communication Simulation for Unmanned Traffic Management.
Sensors
David Carramiñana, Iván Campaña, Luca Bergesio, Ana M. Bernardos, Juan A. Besada