The phrase "achieves a recognition" is correct and usable in written English.
It can be used when discussing someone or something that has gained acknowledgment or acclaim for their work or contributions.
Example: "The artist achieves a recognition that reflects her dedication and talent in the field of contemporary art."
Alternatives: "gains recognition" or "earns acknowledgment."
The proposed technique achieves a recognition rate of 87.8%, compared with 72.5% using a reverberant speech model.
Our proposed technique achieves a recognition rate of 92.26% complete ligature recognition rate (after the association of primary and secondary ligatures) demonstrating its effectiveness.
The original-order algorithm in Figure 6 achieves a recognition rate of approximately 0.965 for less than ten bands which corresponds to a standard deviation in recognition rate of 0.009.
On this similar setup for training and test images, the highest recognition rate achieved by the proposed ZMmagPhaseLBP descriptor for YALE 2.1 is 94.59% while the ZMcomponentLBP descriptor achieves a recognition rate of 92.47% for ORL 2.1 category.
The proposed GSS-based dereverberation method achieves a recognition rate of 92.2%, which compares well with conventional cepstral mean normalization with delay-and-sum beamforming using a clean speech model (49.0%) and a reverberant speech model (88.4%).
We also achieve a recognition accuracy competitive to the current state-of-the-art multinomial duration model, while gaining a significant reduction in computation.
Automation technology has matured to a point where a number of other technologies have developed from it and have achieved a recognition and status of their own.
The star identification method that we present is proven to be robust, achieving a recognition rate of 99.68% when noise levels of up to ±424 μ radians are introduced to the location of the stars.
The experimental results on 900 field samples (6 seabird species, and 150 samples of each species) achieved a recognition accuracy of 88.1%, which indicates that the proposed method is effective for automated seabird identification.
The system evaluated on 1692 Urdu ligatures achieved a recognition rate of 92.7%.
Classification using k-nearest neighbor classifier achieved a recognition rate of 89% for 10,000 primary ligatures.
