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The problem of time synchronization is formulated as nodes estimating their skews and offsets from noisy difference measurements of offsets and logarithm of skews; the measurements acquired by time-stamped message exchanges between neighbors. The algorithm ensures that the estimation error is mean ...
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Figure 3.3 shows an interface between coarse (Δxc) and fine (Δxf=Δxc/2) patches of a 1D FDTD grid, on which for every time step Δtc on the coarse grid two time steps Δtc/2 are applied to advance solution on the fine grid. Solution on the coarse grid can be advanced in ...
This research aimed to understand the relationship between lockdown and increased aggression using NLP technology to analyze the following 3 kinds of aggressive emotions: anger, offensive language, and hate speech, in spatiotemporal ranges of tweets in the United States. Methods We conducted a longitu...
the Newton Polygon is used to find local invariants of the operator while our Newton Polygon is constructed with the aim of looking for formal power series solutions. In Sect.4we describe the relation between Adams’ Newton Polygon and Zhang’s bounds. Adams’ construction is also used in [20...
In order to improve the clarity and color fidelity of traffic images under the complex environment of haze and uneven illumination and promote road traffic safety monitoring, a traffic image enhancement model based on illumination adjustment and depth of field difference is proposed. The algorithm is...
. Furthermore, it can be used as a convergence criterion for the variational inference. If the difference between the lower bound on two successive iterations is lower than a threshold, we assume that our model converges. Algorithm 1 provides the pseudocode of the sparse Bayesian LSTD algorithm....
If the difference between the lower bound on two suc- cessive iterations is lower than a threshold, we assume that our model converges. Algorithm 1 provides the pseudocode of the sparse Bayesian LSTD algorithm. Bayesian Inference for LSTD Regularization 135 Remark 1. The lower bound can be ...
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