Sentence examples for evaluation comparison from inspiring English sources

We compare and evaluate some TMOs specifically for the stereo matching purpose and provide an objective evaluation comparison to HDR disparity maps.

This evaluation comparison study supports the findings that the five glare indices have significant inconsistency and inaccuracy issues.

In conclusion, providing the competitive evaluation comparison with ambient information about sustainable design helps develop the design awareness on sustainability with better outputs.

There are numerous issues while designing an efficient dynamic load balancing algorithm that involves utilization of system, amount of information transferred among processors, selection of tasks for migration, load evaluation, comparison of load levels and many more.

The process of cultural adaptation comprises a high-level component, seen in the formation of patterns across individuals and the ability to solve problems, a low-level component, the actual and probably universal behaviors of individuals, which can be summarized in terms of three principles: evaluation, comparison, and imitation.

In Section 5, the results of the performed experiments are presented based on two types of evaluation: comparison with the National Telecommunications and Information Administration (NTIA) scores and comparison with subjective tests.

In previously cited studies, evaluation comparisons between experts, quasi-experts and novices indicated varied results within the domains of poetry, film, writing, etc.

These authors concluded that the MDS-HSI can be used to substitute for the HUI2 in group-level comparisons but not for individual clinical evaluation comparisons [ 34].

I think this system difficult getting popular because to make the evaluation / comparison is necessary to time, as systems that use stars, only a few clicks are necessary, this new system is necessary that the User has knowledge of both products and not just that he is currently using.

Waltman L and Costas R (2014 F10000 recommendations as a potential new data source for research evaluation: A comparison with citations.

Thalamuthu, A., Mukhopadhyay, I., Zheng, X. & Tseng, G. C. Evaluation and comparison of gene clustering methods in microarray analysis.