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Enterprise networks of scale are complex, dynamic computing environments that respond to evolving business objectives and requirements. Characterizing system behaviors in these environments is essential for network management and cybersecurity operations. Characterization of system's communication is typical and is supported using network flow information (Net-Flow). Related work has characterized...
Network services often depend on other services distributed throughout a network to function correctly. If a service fails, is disrupted, or is degraded, it is likely to impair other services. The web of dependencies can be surprisingly complex—especially within a large enterprise network—and evolve over time. Acquiring, maintaining, and understanding dependency knowledge is critical for many network...
The integration of rapid assays, large datasets, informatics, and modeling can overcome current barriers in understanding nanomaterial structure–toxicity relationships by providing a weight-of-the-evidence mechanism to generate hazard rankings for nanomaterials. Here, we present the use of a rapid, low-cost assay to perform screening-level toxicity evaluations of nanomaterials in vivo. Calculated...
We describe an approach to analyzing anomalies in trade data based on the identification of cluster outliers. The approach uses unsupervised machine learning methods to discover semantically coherent clusters of shipping records in large collections of trade data. Trade data with cluster annotations are then used as input to a supervised machine learning algorithm to train and evaluate a classification...
Real-time computing has traditionally been consid- ered largely in the context of single-processor and embedded systems, and indeed, the terms real-time computing, embedded systems, and control systems are often mentioned in closely related contexts. However, real-time computing in the con- text of multinode systems, specically high-performance, cluster- computing systems, remains relatively unexplored...
Nanoparticle formulations that are being developed and tested for various medical applications are typically multi-component systems that vary in their structure, chemical composition, and function. It is difficult to compare and understand the differences between the structural and chemical descriptions of hundreds and thousands of nanoparticle formulations found in text documents. We have developed...
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