Modeling and Predicting Incidence: Critical Systems Failures and Flu Infection Cases
Given several related critical infrastructure (CI) networks, such as power grid, transportation, and water systems, one crucial question emerges: how to model the propagation of failed facilities and predict their spread over time to the whole system? Given digital surveillance data, can we predict...
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| Format: | Others |
| Language: | en_US |
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Virginia Tech
2019
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| Online Access: | http://hdl.handle.net/10919/89909 |