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An understanding of information flow has many applications, including for maximizing marketing impact on social media, limiting malware propagation, and managing undesired disclosure of sensitive information. This paper presents scalable methods for both learning models of information flow in networks from data, based on the Independent Cascade Model, and predicting probabilities of unseen flow from...
In traditional multi-level security (MLS) models, object labels are fixed assessments of sensitivity. In practice there will inevitably be some uncertainty about the damage that might be caused if a document falls into the wrong hands. Furthermore, unless specific management action is taken to regrade the label on an object, it does not change. This does not reflect the operational reality of many...
This paper introduced a two-stage stochastic model to address the strategic air freight network design problems under stochastic demand. Most of existing approaches for the airline network design problems are restricted to deterministic environment. However, the demand in airline market usually varies seasonally. The first stage of the proposed model is to determine the number and the location of...
Overhead crane systems are widely used for material transportation in many industrial fields. However, undesired oscillation can always be found during the moving process, especially at the end location of the transport. The swing may extend the carrying time and cause safety problems. In order to achieve small swing angles, and also to incorporate the potential uncertainty property of the system,...
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