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where y is an N × 1 vector that contains the symbols received at each feed, s is a K × 1 stack of the symbols transmitted by each user (see Figure 2), n is the N × 1 vector of zero-mean complex white Gaussian noise, such that E n n H = N o ⋅ I N, and H represents the N × K channel matrix.
We have to distinguish two types of dangling ends: (1) interior dangles, where the unpaired base i + 1 stacks onto i of the adjacent basepair (i, j) and correspondingly j - 1 stacks onto j and (2) exterior dangles, where i - 1 stack onto i and j + 1 stacks on j.
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Fig. 1 Stacked autoencoder feature extraction for wind power prediction.
Open image in new window Fig. 1 Stacked bidirectional converter.
Figure 2 Stack views.
Fig. 5 Stack of collaboration methods.
Figure 7 Stack create processing time.
Figure 8 Stack update processing time.
Three-dimensional (3D) stacking technology makes possible reuse of dies in 3D stack.
How's the 1.8T stack up against the 3.0?
So how does the iPad 2 stack up?
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com