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These methods require accurate ground truth of both malicious and benign DNS traffic for model training as well as for the performance evaluation.
EM geophysical methods require accurate and reliable measurement of the electric field (E-field) and magnetic field (B-field) in order to characterize the subsurface, from the near surface down to a depth of several kilometers.
Interference problems are tackled by appropriate countermeasures such as (joint) precoding and beamforming on the forward link as well as multi-user detection on the return link; these methods require accurate and timely knowledge of the channel state, which in turn necessitates suitable algorithms for channel estimation.
X-QTL methods require accurate measurement of genome wide allele frequencies within progeny pools.
In practice, however, such integrated reconstruction methods require accurate estimation of ancestral substitution rates, both synonymous and nonsynonymous.
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Correct phylogenetic inference using likelihood-based methods requires accurate branch length estimates.
To yield good approximations, however, the method requires accurate identification of the rate controlling constraints.
Furthermore, efficient modelling of arbitrary crack growth by use of XFEM (extended finite element method) requires accurate knowledge of the asymptotic crack tip fields.
Thus, there will soon be a tremendous number of data sets based on this sampling method requiring accurate and informative methods of analysis.
This allows early recognition of possible poor vaccine effectiveness.[1] However, to estimate VE, the screening method requires accurate assessment of a relatively high vaccination coverage.[7] Often neither of these conditions is met.
However, this method requires accurate measurements of the tissue T1 relaxation time before and after contrast injection that is usually performed in few slices due to the temporal resolution constraints [ 52].
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