The blockchain-enabled internet of medical things (IoMT) is an emerging paradigm that
could provide strong trust establishment and ensure the traceability of data sharing in the …

The group testing problem concerns discovering a small number of defective items within a
large population by performing tests on pools of items. A test is positive if the pool contains …

We consider the problem of nonadaptive noiseless group testing of N items of which K are
defective. We describe four detection algorithms, the COMP algorithm of Chan et al., two …

Search problems in cryptography Page 1 Search problems in cryptography: from fingerprinting
to lattice sieving Citation for published version (APA): Laarhoven, T. (2016). Search problems …

Background: Due to the ongoing COVID-19 pandemic, demand for diagnostic testing has
increased drastically, resulting in shortages of necessary materials to conduct the tests and …

We study the group testing problem where the goal is to identify a set of k infected
individuals carrying a rare disease within a population of size n, based on the outcomes of …

In this paper, we propose algorithms that leverage a known community structure to make
group testing more efficient. We consider a population organized in disjoint communities …

Since the inception of the group testing problem in World War II, one of the prevailing
assumptions in the probabilistic variant of the problem has been that individuals in the …

Group testing is the problem of identifying K defective items among n items by pooling
groups of items. In this paper, we design group testing algorithms for approximate recovery …

The group testing problem consists of determining a small set of defective items from a
larger set of items based on a number of possibly noisy tests, and is relevant in applications …