The phrase "a more stable performance" is correct and usable in written English.
It can be used when discussing improvements or comparisons in the consistency or reliability of a performance, such as in sports, technology, or business contexts.
Example: "After implementing the new strategies, we observed a more stable performance in our sales figures over the last quarter."
Alternatives: "a more consistent performance" or "an improved performance stability."
The deal was criticised by analysts who questioned its complexity, but it will enable the British bank to report a more stable performance in future.
Also, it obtains the classification accuracy competitive to the DragPushing (DP) method while it maintains a more stable performance.
Both processes accommodate denitrifying dephosphatation, but the A2N process has a more stable performance in N removal.
This impact taken by mobility is less noticeable when analyzing the CGP which has a more stable performance than the other protocols.
In addition, as the graph in Figure 6 shows, the keypoint model gives a more stable performance in comparison with GMM, with less variation in PCC rate. 5.
The optimized cut height algorithm, however, consistently demonstrates a more stable performance selecting the individual sentences matrix and the combined sentences and HTML tags matrix as the top performers in both the training and test populations.
According to the results obtained, the proposed M-DVC solution is robust to changes in disparity: Outdoor, which is characterized by a simpler depth structure, shows a much more stable performance when compared with Book Arrival.
When applied at +0.3 V vs. RHE and at pH 7, p-Cu2O films were found to show a slightly more stable performance as compared to photoelectrochemical measurements reported in the literature at 0 V vs. RHE and under acidic conditions.
Improving the quality of the movement (i.e., develop a less variable and more stable performance) reduced the amount of muscle activity and co-contractions needed to coordinate the movement properly [ 31].
This method was evaluated against the Fisherface algorithm and exhibited much more stable performance across a wide range of illumination, it alsoachieved a correct classification rate of 70% versus 20% for Fisherface on the equivalent test data.
