60 citations · 144 across the 5 of their papers we have counts for
5 papers
Enhancing healthcare infrastructure resilience through agent-based simulation methods
David Carramiñana, Ana M. Bernardos, Juan A. Besada +1
Critical infrastructures face demanding challenges due to natural and human-generated threats, such as pandemics, workforce shortages or cyber-attacks, which might severely comprom…
A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications
Lucas Rey, Ana M. Bernardos, Andrzej D. Dobrzycki +4
Advancements in embedded systems and Artificial Intelligence (AI) have enhanced the capabilities of Unmanned Aircraft Vehicles (UAVs) in computer vision. However, the integration o…
Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance
Raúl Arranz, David Carramiñana, Gonzalo de Miguel +2
This paper summarizes in depth the state of the art of aerial swarms, covering both classical and new reinforcement-learning-based approaches for their management. Then, it propose…
Towards resilient cities: A hybrid simulation framework for risk mitigation through data driven decision making
David Carraminana, Ana M. Bernardos, Juan A. Besada +1
Providing a comprehensive view of the city operation and offering useful metrics for decision making is a well known challenge for urban risk analysis systems. Existing systems are…
Hybrid Artificial Intelligence Strategies for Drone Navigation
Rubén San-Segundo, Lucía Angulo, Manuel Gil-Martín +2
Objective: This paper describes the development of hybrid artificial intelligence strategies for drone navigation. Methods: The navigation module combines a deep learning model wit…