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Today, universities are using video to record lectures and "flip" their classrooms for increased interactivity, improved student-teacher communications, scalable distance learning, and dozens of other applications.
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In this paper, we analyze a scalable measurement of the average distance between two arbitrary but fixed processors in a network structure, which is useful in providing a more global characterization of its data transmission behavior.
The results for prediction distances d λ are scalable and could be interpreted as predictions for time horizons of d λ ·λ c /v at a carrier wavelength of λ c and a user moving at velocity v.
Shaw, A fast, scalable method for the parallel evaluation of distance-limited pairwise particle interactions, J. Comput.
Optical backbone networks provide highly-scalable connectivity across large distances.
The experimental results show that by efficiently handling local and long-distance traffic flows, this structure is scalable, and power- and performance-efficient.
The approach warrants further research in the area to provide scalable parallel computing implementation of QAPgrid to deal with distances matrices between hundreds of thousands of objects in, typically, sets of thousands of different clusters.
A highly scalable method was proposed in article [13] for computing 3D distance fields on massively parallel distributed-memory machines.
For this purpose, we present an efficient and scalable attack – SimAttack – leveraging a similarity metric to capture the distance between preliminary information about the users (i.e., history of query) and a new query.
Because computing this distance requires executing a search algorithm, it is not feasible nor scalable to execute this algorithm on the fly for every candidate object every time eviction is issued.
Distance learning, including on-line teaching, may provide an attractive, cost-effective, scalable and efficient alternative to on-site classroom training.
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