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Showing 1 to 5 of 5 for “"Critical Infrastructure Resilience"”.

  1. Statistical and machine learning models for critical infrastructure resilience

    … data-driven approach to improving predictions of critical infrastructure behaviors. In our first approach, we explore novel data sources and time series modeling techniques to model disaster impacts on power systems through the case study of Hurricane Sandy as it impacted the state of New York. We …

    uiuc Repository record for Statistical and machine learning models for critical infrastructure resilience (opens in a new tab)

  2. Strategic and analytics-driven inspection operations for critical infrastructure resilience

    Resilience of infrastructure networks is a key requirement for a functioning modern society. These networks work continuously to enable the delivery of critical services such as water, natural gas, and transportation. However, recent natural disasters and cyber-physical security attacks have …

    mit Repository record for Strategic and analytics-driven inspection operations for critical infrastructure resilience (opens in a new tab)

  3. Assessment of the Jones Act Waiver Process on Freight Transportation Networks Experiencing Disruption

    … was viewed as a barrier to recovery. Much of the critical infrastructure resilience and security literature focuses on the "hardening" of physical infrastructure, but not the relationship between law, policy, and critical infrastructure. Traditional views of transportation systems do not …

    vt Repository record for Assessment of the Jones Act Waiver Process on Freight Transportation Networks Experiencing Disruption (opens in a new tab)

  4. An Interoperable Framework for Real-Time Infrastructure Monitoring and Deep Learning–Based Post-Disaster Damage Assessment for Urban Resilience

    Rapid infrastructure damage assessment is essential for effective emergency response, recovery planning, and urban resilience following extreme hazard events. Conventional post-disaster damage assessment relies heavily on manual field surveys, which are slow, labor-intensive, and often infeasible …

    alabama Repository record for An Interoperable Framework for Real-Time Infrastructure Monitoring and Deep Learning–Based Post-Disaster Damage Assessment for Urban Resilience (opens in a new tab)

  5. Security of Critical Cyber-Physical Systems: Fundamentals and Optimization

    … Internet of Things (IoT). In particular, many critical infrastructure (CI) that are vital to our modern day cities and communities, are CPSs. This wide range of CPSs domains represents a cornerstone of smart cities in which various CPSs are connected to provide efficient services. However, this …

    vt Repository record for Security of Critical Cyber-Physical Systems: Fundamentals and Optimization (opens in a new tab)