Machine learning applications in the resilience of interdependent critical infrastructure systems—A systematic literature review

BA Alkhaleel - International Journal of Critical Infrastructure Protection, 2024 - Elsevier
The resilience of interdependent critical infrastructure systems (ICISs) is critical for the
functioning of society and the economy. ICISs such as power grids and telecommunication …

Seeing the forest for the trees: Putting multilayer networks to work for community ecology

MC Hutchinson, B Bramon Mora, S Pilosof… - Functional …, 2019 - Wiley Online Library
A framework for the description and analysis of multilayer networks is established in
statistical physics, and calls are increasing for their adoption by community ecologists …

Resilience-driven restoration model for interdependent infrastructure networks

Y Almoghathawi, K Barker, LA Albert - Reliability Engineering & System …, 2019 - Elsevier
Critical infrastructure networks such as electric power, water distribution, natural gas,
transportation and telecommunications are the backbone of modern societies as they …

Protection-interdiction-restoration: Tri-level optimization for enhancing interdependent network resilience

N Ghorbani-Renani, AD González, K Barker… - Reliability Engineering & …, 2020 - Elsevier
Resilience is often thought of as the ability to withstand a disruption and recover quickly from
it. Thus, improving the resilience of an infrastructure system is often associated with reducing …

Synchronization in networks with multiple interaction layers

CI Del Genio, J Gómez-Gardeñes, I Bonamassa… - Science …, 2016 - science.org
The structure of many real-world systems is best captured by networks consisting of several
interaction layers. Understanding how a multilayered structure of connections affects the …

Component importance measures for interdependent infrastructure network resilience

Y Almoghathawi, K Barker - Computers & Industrial Engineering, 2019 - Elsevier
Critical infrastructure networks such as transportation, telecommunications, electric power,
natural gas and oil, and water distribution rely on one another for their proper functionality …

Recovering dynamic networks in big static datasets

R Wu, L Jiang - Physics Reports, 2021 - Elsevier
The promise of big data is enormous and nowhere is it more critical than in its potential to
contain important, undiscovered interdependence among thousands of variables. Networks …

Discordant attributes of structural and functional brain connectivity in a two-layer multiplex network

S Lim, F Radicchi, MP van den Heuvel, O Sporns - Scientific Reports, 2019 - nature.com
Several studies have suggested that functional connectivity (FC) is constrained by the
underlying structural connectivity (SC) and mutually correlated. However, not many studies …

[图书][B] Multilayer network science: from cells to societies

O Artime, B Benigni, G Bertagnolli, V d'Andrea… - 2022 - cambridge.org
Networks are convenient mathematical models to represent the structure of complex
systems, from cells to societies. In the last decade, multilayer network science–the branch of …

基于改进渗流理论的信息物理融合电力系统连锁故障模型

韩宇奇, 郭创新, 朱炳铨, 徐立中 - 电力系统自动化, 2016 - epjournal.csee.org.cn
基于改进渗流理论, 提出了考虑物理层电网潮流分析与信息层延时的信息物理融合电力系统连锁
故障模型. 将连锁故障的动态发展描述为故障在信息层, 物理层交替传播扩大的多阶段过程 …