Sentence examples for is significantly optimized from inspiring English sources

In addition, the communication performance is significantly optimized by reducing the number of long interconnects, and the average improvement is about 34% for all cases considered in this paper.

If we relatively prefer the missed probability and set to 0.6, as is shown in Figure 4(b), although the detection probability of this algorithm remains close to ED, the false alarm is significantly optimized, which is resemble that of.

Control performance and response time of the control unit were significantly optimized.

Because of the LPSO phases, the interfacial structure of the composites was significantly optimized.

As compared with the untreated PS film, the film morphology of the printed semiconductor on the UV-irradiated crosslinked PS films was significantly optimized.

Predicting the degradation of working conditions and trending of fault propagation before they reach the alarm or failure control limit is significantly important to optimize the operational capacity of a chemical process.

Electrical discharge machining (EDM) has been proved to be a feasible way to machine the carbon fiber reinforced polymers (CFRPs); therefore, understanding the material removal mechanism of CFRPs by EDM is significantly important for optimizing the machining process and improving the machining surface quality.

We would thus argue that we here not only developed the first ABA sensors, which are already significantly optimized over sensors for other solutes, but that we can use them for in vivo imaging (e.g., high-resolution imaging of cytosolic ABA accumulation and elimination rates).

Specifically, if the current topology is significantly (5 log-likelihood units) more likely than the star topology (after optimizing the internal branch length), then FastTree does not optimize the other branch lengths or consider the two alternate topologies.

Even ignoring this point, optimizing the Fisher information generally predicts a hierarchy of scale ratios, and only predicts geometric scaling if that scale is significantly greater than 1.

Results showed that the performance of the material was significantly improved by optimizing its microstructural design.