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Supply-at-Risk: Resilience Metric for Infrastructure Systems: Framework for assessing and comparing resilience of infrastructure systems in urban areas.

, and . ICSRS, page 561-565. IEEE, (2019)

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Time granularity impact on propagation of disruptions in a system-of-systems simulation of infrastructure and business networks., and . CoRR, (2021)A framework for modeling interdependencies among households, businesses, and infrastructure systems; and their response to disruptions., and . Reliab. Eng. Syst. Saf., (2020)Modeling the behavior of interdependent infrastructure, business unit and household systems under multiple disruptions.. ETH Zurich, Zürich, Switzerland, (2019)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/381705).Agent-Based Framework for Assessing Systemic Risk of Interdependent Sociotechnical and Infrastructure Systems., and . ICSRS, page 196-201. IEEE, (2022)Supply-at-Risk: Resilience Metric for Infrastructure Systems: Framework for assessing and comparing resilience of infrastructure systems in urban areas., and . ICSRS, page 561-565. IEEE, (2019)Time Granularity in System-of-Systems Simulation of Infrastructure Networks., and . COMPLEX NETWORKS (1), volume 812 of Studies in Computational Intelligence, page 482-490. Springer, (2018)Framework for modeling interdependencies between households, businesses, and infrastructure system, and their response to disruptions - application., and . Reliab. Eng. Syst. Saf., (2021)LU Factorisation on Xeon and Xeon Phi Processors., and . PARCO, volume 27 of Advances in Parallel Computing, page 591-599. IOS Press, (2015)