Exact(1)
The straight line is the worst case scenario for the dead reckoning, and the position errors will be dominated by errors induced by the heading errors.
Similar(58)
Since the orbit errors are dominated by errors at a frequency of once per orbital revolution, ℓ is set to 1.
These spikes are dominated by errors in the velocity, as can be deduced by comparing the magnitude of the spikes in position and velocity-space.
The crossover residuals are presented before and after empirical adjustment of the radial orbit error, assuming a model that the orbit errors are dominated by errors at a frequency of once per orbital revolution (Shum et al., 1990).
For 50 ≲ N, the error in the period calculation using this method is dominated by errors in the numerical integration of the Equations 9 and 10 in time, rather than in the approximate evaluation of the integral in Equation 11.
However, the systematic error, which was dominated by errors originating during polymerase chain reaction (PCR), introduced hundreds of noisy signals.
It can be seen that the PEP decreases as D H (s α,s β ) increases, and the system performance is dominated by error events with 1 bit information error.
Since the system performance is dominated by error events with 1 bit information error, we can get a BER lower bound of a BPSK modulated system by considering only error events with 1 bit error P_{b} leq frac{1}{2^{N_{c}}} sum_{alpha = 1}^{2^{N_{c}}} sum_{underset{D_{H} textbf{s}_{alpha}, textbf{s}_{beta})=1}{beta:} }frac{1}{N_{c}} P {mathbf X}_{alpha} to {mathbf X}_{beta}).
To summarize, it appears that the hub concept is more meaningful for "balanced" networks (because of the agreement between three independent notions of a hub) than it is for networks that are dominated by error-prone, high-throughput data or networks that are compendia of error-free but biased literature-curated interactions.
It is based on two simple assumptions: that the uncertainty in prediction for new objects (e.g., molecular structures) is likely to be dominated by the error in prediction for objects near them in the descriptor space; and that this influence is, to a first approximation, inversely related to the distance between them.
Firstly we modified the local enrichment function space, and we analyzed how the global error can be dominated by the local error.
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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