Risk analysis (including resilience analysis) of infrastructure requires models that describe
the connection of components and subsequent flow dynamics. However, the detailed …

This paper proposes a novel simulation‐based hybrid approach coupled with time‐
dependent Bayesian network analysis to model multi‐infrastructure vulnerability over time …

Faced with destabilizing conditions in the Anthropocene, infrastructure resilience modeling
remains challenged to confront increasingly complex conditions toward quickly and …

Urban water and power supply networks with interdependent characteristics are essential
components of urban infrastructures and play an important role in maintaining the daily …

Recent years have seen a significant shift in Artificial Intelligence from model-centric to data-
centric approaches, highlighted by the success of large foundational models. Following this …

Analyzing the behavior of complex interdependent networks requires complete information
about the network topology and the interdependent links across networks. For many …

Network structure provides critical information for understanding the dynamic behavior of
complex systems. However, the complete structure of real-world networks is often …

The deep integration of power grids and communication networks is the basis for realizing
the complete observability and controllability of power grids. The communication node or …

Infrastructure managers are continually challenged to reorient their organizations to mitigate
disturbances. Disturbances to infrastructure constantly intensify, and the world and its …

Public safety is confronted with an increasing number of threats, such as natural disasters,
terrorist attacks, cyber-attacks and more. In many cases, these lead to significant disruptions …