The performance of detecting trigger words has been significantly improved by performing the task jointly with protein name recognition.
(The RMD performance of detecting planar is relatively low, so the reduction of the number N R should be relatively careful).
In this paper, we presented some detailed theoretical analysis on the performance of detecting a narrow band PU by a wideband CR terminal.
We investigate particularly the Prewitt operator used to generate the gradient and we propose necessary approaches that enhance the gradient performance of detecting the HEVC intra modes.
We first evaluate the performance of detecting malicious routers by measuring the PDR. Figure 7 shows the average PDR of PA-SHWMP compared with SHWMP and HWMP with different numbers of malicious routers.
In this paper, we study the performance of detecting the PU based on its time domain SoS, by classifying them as light, average or heavy users of the spectrum, together with noisy sensing at the CR nodes.
From the study of measuring the performance of detecting intrusions among NB, rTree, and rForest, they identified that rForest is superior to others with maintaining low false alarm rate.
So in the next sections, we propose some approaches that would improve the gradient solution performance of detecting the HEVC directions while keeping a close watch to the implementation complexity.
In order to speed up the RDO process, the heaviest stage in the intra prediction, we propose to reduce even more the number N R for PU sizes of 8 × 8 and 4 × 4, based on the gradient stage performance of detecting the theoretical optimal mode.
We compared here the performance of detecting mutations from forward genetics by two high-throughput platforms.
