Sentence examples for performance in error from inspiring English sources
Our research examined how data models organized in a columnar fashion compared to equivalent data models which did not, by improving novice designer's performance in error detection, comprehension, and query construction.
Differences between groups performance in errors were only evident on the most complex versions of each task with more errors made by the schizophrenia group.
Good performance in phase error in wide pass band has been achieved.
The 3D TC improves performance in the error floor compared to the TC, at the expense of a loss in the convergence threshold and an increase in complexity.
Second, although the MFCSO detection algorithm proposed by the authors in [5] has a very low detection complexity, under random AWGN channels, it requires relatively strong channel coding to maintain a near-MAP performance in frame error ratio [5].
In particular, it serves as a foundation for elucidating the relationship between various decoding algorithms and lead to the design of LDPC codes with a superior performance in the error floor region.
However, these algorithms rely on degree distributions optimized for infinitely long codes and focus on constructing LDPC code graphs with a small number of short cycles, thereby improving the performance in the error-floor region for short LDPC codes.
We present an efficient receiver front-end architecture which combines with the receiver half-Nyquist filtering the special prefiltering required to achieve jitter-free performance in frequency-error detection and timing recovery.
However, it was designed for wired networks and suffers performance degradation in error-prone wireless network.
In addition, such a prioritization process must also adopt multiple criteria such as impact of error removal on turbine performance, financial difficulty in error removal and impact of error removal on techno-economic performance.
The large improvement of SF-models predictive performance and decrease in error rate exhibit the strength of unbiased methodology followed in automated QSAR modeling workflow.
