RISK CONTEXTUALIZATION FOR NUCLEAR SYSTEMS

Risk Contextualization for Nuclear Systems

Risk management strives to reach the standards of theoretical systematicity and empirical precision achieved in natural science models.To this end, a set of risk-informed and performance-based standards was developed in the form of statistically validated measures.The vegas golden knights background set enables the systematic extraction by determin

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Parallelly Running k-Nearest Neighbor Classification Over Semantically Secure Encrypted Data in Outsourced Environments

Cloud services with powerful resources are popularly used to manage exponentially quest fryer increasing data and to carry out data mining to analyze the data.However, a data mining involving query can cause privacy problems by disclosing both the data and the query.One task in data mining, classification, is used in a wide range of applications, a

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