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The SIR model is used extensively in the field of epidemiology, in particular, for the analysis of communal diseases. One problem with SIR and other existing models is that they are tailored to random or Erdos type networks since they do not consider the varying probabilities of infection or immunity per node. In this paper, we present the application and(More)
A non-uniform additive pseudo-random sampling pattern (mainly proposed in the signal processing communities) can be used for performing an 'alias-free signal sampling' process. The carefully designed sampling scheme can mitigate the effects of aliasing and permit significant reductions in the average sampling frequency, leading to more efficient processor(More)
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Let R be a ring with involution. An additive mapping T : R → R is called a left *-centralizer (resp. Jordan left *-centralizer) if T(More)
There is a need to come up with efficient algorithms which can perform automatic video-based behaviour analysis. It is a challenging problem, as it requires correctly modelling individual behaviours and learning switching dynamics between these behaviours. This task if done manually is a slow, laborious and error prone process. So there is a need for(More)
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