Graph Neural Networks for Evaluating the Reliability and Resilience of Infrastructure Systems: A Systematic Review of Models, Applications and Future Directions

Interdependent infrastructure systems serve as the foundation of modern society, ensuring the delivery of essential services, economic stability, and public well-being. The increasing integration of these systems, driven by advancements in cyber-physical systems (CPS) and the Internet of Things (IoT...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access Jg. 13; S. 1
Hauptverfasser:	Liu, Tong, Liu, Fangyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Communication networks Critical infrastructure systems Cyber-physical systems Cybersecurity Data integration Graph neural network Graph neural networks Human influences Infrastructure Interdependency Internet of Things Measurement Modal data Natural disasters Neural networks Power system faults Power system protection Power system stability Probabilistic logic Reliability Reliability analysis Resilience Resilience analysis Transportation Transportation networks Water distribution Water engineering
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!