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Exact(1)
The strong relation between human interaction, planning, learning and human errors will be shown as well as the connection to related mental representations.
Similar(59)
The implemented numerical solution is exact in the sense that numerical error is solely due to round-off errors, which will be shown using the symbolic toolbox in MATLAB.
However, LL-ARQ has some disadvantages in wireless channels with bursty errors, as will be shown in the following.
Increasing Rth 01,00) results in larger reduction in the soft error rate, as will be shown later.
In Section 2, the review of conventional weighted least-squares (WLS) design (as Deng's method [21]) basing on the minimization of phase-oriented error and frequency-response-oriented error is given, and it will be shown that both will lead to the same solution.
(3) A symbol allocation is selected based on an error rate minimization criterion that will be shown in the following.
However, the quasi-ML clipping estimation method provides poor error performance in fading channels, which will be shown in Section 6.
Slides will be shown.
Sensitivity analysis showed that systematic errors will be reduced by decreasing the sensor surface emissivity.
Any errors will be underlined in red, and an icon with an "X" will show up on the left.
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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