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In the first subsection, the convergence results of both algorithms are presented.
In the first subsection, we examine school-type differences in PD model parameters (Q2 Q4).
In the first subsection, we introduce some preliminaries and the two-phase general framework of Clustering Embedded Network Inference (CENI).
In the first subsection below, we first discuss how we select our variables and our data sources.
In the first subsection, we explain the optimum transceive beamforming maximising the sum rate of non-regenerative multi-way relaying.
In the first subsection, the reconstruction capability of the whole noisy and noise-free image is addressed.
Similar(19)
L. 99 570, § 1864(1), (4), which directed the substitution of "subsection (n)" for "subsection (o)" in "the second subsection (h)", and directed the redesignation of "the second subsection (h)" as subsection (k), were executed to this subsection because the "second subsection (h)" had been editorially redesignated subsec.
In the third subsection, we show the results of the comparison and analyze the discrepancies.
The sharpness and the lower bound will be discussed in the second subsection.
The experimental study on the local feature extraction has been depicted in the second subsection.
In the third subsection, a case study is presented to show the application of the model.
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CEO of Professional Science Editing for Scientists @ prosciediting.com