Saltar al contenido
Enrique Tomás Martínez Beltrán
InicioInvestigaciónPublicacionesDocenciaBlog
ENES
Contacto
InicioInvestigaciónPublicacionesDocenciaBlog
ENES
Contacto

Enrique Tomás Martínez Beltrán

Estudiante de doctorado en la Universidad de Murcia, centrado en aprendizaje federado, ciberseguridad e IA que preserva la privacidad para sistemas reales.

  • Política de privacidad
  • Términos del servicio
  • Accesibilidad
  • GitHubse abre en una pestaña nueva
  • LinkedInse abre en una pestaña nueva
  • Google Scholarse abre en una pestaña nueva
  • RGse abre en una pestaña nueva
  • ORCIDse abre en una pestaña nueva
  • Scopusse abre en una pestaña nueva
  • DBLPse abre en una pestaña nueva
  • Web of Sciencese abre en una pestaña nueva

Enrique Tomás Martínez Beltrán. Todos los derechos reservados.

Volver arriba

Este sitio utiliza cookies analíticas para entender cómo los visitantes interactúan con el contenido. No se comparten datos personales con terceros.

  1. Inicio
  2. Publicaciones
  3. Opportunities for standardization in emergency scenarios in the European Union
Artículo de revista2023

International Journal of Medical Informatics

Opportunities for standardization in emergency scenarios in the European Union

Objective Despite current standardization actions towards the unification between European Union (EU) countries, there is still much work to do. In this context, this paper aims to offer a comprehensive analysis of the l...

Editorialse abre en una pestaña nuevaDOIse abre en una pestaña nueva
  • LinkedInse abre en una pestaña nueva
  • Xse abre en una pestaña nueva
Emergency scenariosGapsOpportunitiesRoadmapStandardization

Datos rápidos

Año
2023
Venue
International Journal of Medical Informatics
Identificador
lopezbernal2023opportunities

Cita sugerida

Sergio López Bernal, Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, María del Carmen Martín Curto, Yantsislav Yanakiev, Manuel Gil Pérez, Gregorio Martínez Pérez (2023). Opportunities for standardization in emergency scenarios in the European Union. International Journal of Medical Informatics.

Resumen

Objective Despite current standardization actions towards the unification between European Union (EU) countries, there is still much work to do. In this context, this paper aims to offer a comprehensive analysis of the limitations of the EU concerning emergency situations, specifically in cross-border, cross-hierarchical, and cross-sectorial emergencies, as well as the analysis of emergent opportunities for improvement. The final goal of this analysis is to serve as an initial step for pre-standardizing these opportunities. Materials and methods This work, performed in the context of the EU H2020 VALKYRIES project, first analyzed existing gaps from three dimensions: technological, procedural, collaboration, and training. Each gap was obtained from the literature, professional experience within VALKYRIES, or a consultation process on EU emergency agencies. This research subsequently obtained a list of opportunities from these limitations, aggregating those opportunities with similarities to ease their study. Then, this work prioritized the opportunities based on their feasibility and positive impact, performing an additional consultation process to EU emergencies for validation. Finally, this investigation provided a roadmap for pre-standardization for the five top-ranked opportunities per dimension. Results This paper presents a set of 303 gaps and 255 opportunities across technological, procedural, collaboration, and training dimensions. After clustering the opportunities, this work provides a final set of 82 meta opportunities for improving emergency actions in the EU, prioritized based on their feasibility for adoption and positive impact. Finally, this work documents the roadmaps for three top-ranked opportunities for conciseness. Conclusion This publication highlights the limitations and opportunities in the EU concerning emergency agencies and, more specifically, those existing in cross-border and multi-casualty incidents. This work concludes that there is still room for improvement despite the current measures toward harmonization and standardization.

Autores

Sergio López BernalMario Quiles PérezEnrique Tomás Martínez BeltránMaría del Carmen Martín CurtoYantsislav YanakievManuel Gil PérezGregorio Martínez Pérez

Palabras clave

Emergency scenariosGapsOpportunitiesRoadmapStandardization

Publicaciones relacionadas

Trabajos cercanos por temática, tipo y solapamiento de etiquetas.

Artículo de revista2023

Neural Computing and Applications

Analyzing the impact of Driving tasks when detecting emotions through brain--computer interfaces

Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, Sergio López Bernal, Gregorio Martínez Pérez, Alberto Huertas Celdrán

Traffic accidents are the leading cause of death among young people, a problem that today costs an enormous number of victims. Several technologies have been proposed to prevent accidents, being brain--computer interface...

Editorialse abre en una pestaña nuevaDOIse abre en una pestaña nueva
Artículo de revista2023

IEEE Communications Surveys & Tutorials

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán

Editorialse abre en una pestaña nuevaDOIse abre en una pestaña nueva
Artículo de revista2024

Applied Intelligence

Analyzing the robustness of decentralized horizontal and vertical federated learning architectures in a non-IID scenario

Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Enrique Tomás Martínez Beltrán, Daniel Demeter, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller

Federated learning (FL) enables participants to collaboratively train machine and deep learning models while safeguarding data privacy. However, the FL paradigm still has drawbacks that affect its trustworthiness, as mal...

Editorialse abre en una pestaña nuevaDOIse abre en una pestaña nueva

Investigación relacionada

DEFENDIS: aprendizaje federado descentralizado para identificación y seguridad de dispositivos IoT

Abr 2023 — Nov 2023

DEFENDIS: aprendizaje federado descentralizado para identificación y seguridad de dispositivos IoT

DEFENDIS desarrolla un marco para identificar de forma distribuida dispositivos IoT y abordar amenazas de seguridad mediante aprendizaje federado descentralizado.

EU-GUARDIAN: marco europeo y pruebas de concepto para la automatización inteligente de la gestión de incidentes de ciberdefensa

Dic 2022 — Nov 2025

EU-GUARDIAN: marco europeo y pruebas de concepto para la automatización inteligente de la gestión de incidentes de ciberdefensa

Solución avanzada basada en IA para automatizar la gestión de incidentes de ciberdefensa y reforzar la postura y las capacidades operativas de ciberdefensa de la UE.