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Nevertheless, the conventional multivariate image analysis based pellet sizing methods cannot effectively deal with the pellet overlapping effects in the still images, which may lead to inaccurate and unreliable measurements of size distributions.
Therefore, these methods cannot effectively solve the multipath propagation problem.
Under dynamic C-RAN environments, fixed resource distribution methods cannot effectively adapt to changing system conditions.
All these methods cannot effectively detect the magnitude threshold of completeness in the short term immediately after the mainshock, while the estimates of the ETAS model parameters are mainly determined by short-term clustering.
To suppress the effect of bad measurements on the estimation value of WLS or FDSE, the largest normal residual (LNR) test [1] or other BD identification approaches based on residual [6, 7] are always used to detect and identify any existing bad measurements, but these methods cannot effectively identify conforming bad measurements and leverage bad measurements [1].
These methods cannot effectively capture the coherent gene expression patterns that may be present within a pathway.
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For this reason, the performance of the method cannot be effectively evaluated at protein level as the assignment of an exact result over a wrong one is uncertain, whenever a mix of correct and incorrect predictions is recovered for every protein.
Because the magnitude of the natural products database is limited, high-throughput screening methods cannot be used to effectively identify potential natural products drugs.
The existing methods dependent on such matrixes cannot effectively characterize some important aspects associated with land change such as status, direction, trend and regional variations.
Unfortunately, some miRNA quantification methods such as miRNA microarray cannot effectively discriminate the expression levels of pre-miRNAs from those of mature miRNAs [37], [38].
However, the recall and precision of this method is lower, and it cannot effectively support users doing service discovery based on functional semantic.
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CEO of Professional Science Editing for Scientists @ prosciediting.com