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The evaluation of proposals is important in determining the likelihood an innovation can be successfully propagated based on the propagation strategies selected and how well they match the features of the innovation.
For example, in the Independent Cascade (IC) model proposed by Goldenberg et al. [2], (1) some non-empty set of nodes are initially activated (or influenced); (2) at each successive step, the influence is propagated by activated nodes, independently activating their inactive neighbors based on the propagation probabilities of the adjacent edges.
First, they classify the models based on the propagation mechanisms they employ and their implementation approach.
Chrominance of each pixel is determined based on the propagation paths from every scribble.
Based on the propagation model in (5), the channel from source to each sink will have a different gain.
High frequency ultrasound is based on the propagation of sound waves through the soft tissues that are being imaged.
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In the IC model, each edge has a propagation probability and influence is propagated by activated nodes independently activating their inactive neighbors based on the edge propagation probabilities.
A probability distribution-aided indoor positioning algorithm based on the affinity propagation clustering is proposed.
Uncertainties are evaluated when applying buildup factors based on the error propagation approach.
time-of-fly (ToF) methods, based on the signal propagation time between the Tx and Rx nodes.
These models are based on the downward propagation characteristics (amplitude attenuation and phase-lag) of the surface diurnal signal.
More suggestions(16)
based on the spread
based on the multiplicity
based on the reproduction
based on the prevalence
based on the proliferation
based on the multiplication
based on the diffusion
based on the scattering
based on the breeding
based on the spreading
based on the biography
based on the leader
based on the book
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based on the play
based on the story
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