Sentence examples for in terms of classifying from inspiring English sources

The offline classifier trained using 215 images could achieve a 90% accuracy in terms of classifying otoscopic images with and without a tympanostomy tube, and then the real-time refinement process could improve the classification accuracy by 3 5% based on additional 20 images.

Extensive experimental results on real-world datasets have validated our approach in terms of classifying accuracy and computational efficiency.

While the previous UEP schemes are static, the other four proposed UEP methods are adaptive in terms of classifying the P-frame packets.

Delphi's done all the testing required in terms of classifying the tech as automotive grade, and is now in the process of talking to carmakers around use of the technology.

Additionally, this rational method of upgrading can be useful in terms of classifying roads with respect to their performance and to assess improvement priorities, in accordance with an innovative road management policy.

Building new models, training new classes, during the analysis of the collected sensor data is important for making future inductive abstractions in terms of classifying unknown and future contextual data (i.e. performance) through gaining experience.

Well, for one thing, in terms of classified information, I thought this was like, probably the biggest if it was true that they had developed an X-ray laser that they could shoot down all kinds of things it would change the whole nature of nuclear war fighting.

The accuracy of fuzzy molecular grading in terms of classified in low and high grade (fMG1 and fMG3) was evaluated using a LOOCV, since the number of grade 1 tumors is very small (11.9%) compared to the number of grade 3 tumors (49.3%).

The new framework has descriptive value in terms of studying, classifying and defining the relationships that govern process and management aspects of NPD within multinational and multi-locations based organizations in South East Asia.

Interestingly, in all cases the best model, in terms of correctly classified Active compounds, has been the mixed datasets that have the smallest minority classes.

Thus, Alternative CC became nearly as adequate as Alternative BB, which was the best alternative site in terms of water, classified as a Good Recommendation in the first HILIF round.