Near-Optimal Sparse Adaptive Group Testing

Tan Nelvin
Tan Nelvin

ISIT, pp. 1420-1425, 2020.

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Abstract:

In group testing, the goal is to identify a subset of defective items within a larger set of items based on tests whose outcomes indicate whether any defective item is present. This problem is relevant in areas such as medical testing, data science, communications, and many more. Motivated by physical considerations, we consider a sparsit...More

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