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The algorithm is outlined in Fig. 2. Open image in new window Fig. 2 DE-NNC algorithm outline.
The algorithm is outlined in Algorithm 1, where K is a predefined maximal number of iterations, ε is a predefined small constant, and the iterative error ε k is defined as ε k = γ ̂ k − γ ̂ k − 1 γ ̂ k 2, k = 1, 2, ⋯. (21).
For clarity, the algorithm is outlined in Table 1.
The algorithm is outlined in Fig. 1.
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The details of the algorithm are outlined in Section 2.3.
The major steps of the algorithm are outlined in Figure 1A.
The procedure of the SmartTracing algorithm is outlined in Fig. 1.
The basic definition of the K R algorithm is outlined in Figure 2. P B, i = Σ i = 0 b i − 1 q C − i (1) q j = 1 j Σ i = 1 k a i b i q j − b i (2) Figure 2 K R-based model.
The complete algorithm is outlined in the Appendix.
The presented algorithm is outlined in a hierarchical way and embedded into dedicated agents as decision-making kernel.
The detection algorithm is outlined in Fig. 6.
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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