Sentence examples for good quality assessment from inspiring English sources

In [10], a bread crumb quality test based on Gabor filters was performed, obtaining good quality assessment.

"In a small number of cases people might need access to good quality assessment and treatment services which might include some short periods of in-patient care.

Basic training in report writing and community engagement skills will help equip facilitators with the requisite knowledge to guarantee good quality assessment data.

This capability, however, requires good quality assessment metrics as well as automated support when there is a large number of ontologies from which to make a selection.

Question generation is the task of generating good quality assessment item automatically from a given input corpus to examine the content knowledge of the learner (Heilman & Smith, 2010b; Kunichika, Katayama, Hirashima, & Takeuchi, 2001).

Good quality assessment requires a theoretically-grounded and empirically oriented approach that accounts for both internal cognitive processing factors and external contextual factors relating to the setting and demands of academically oriented tasks.

Considering this, there is a need for good quality assessments of residential ELF-MFs in different geographical regions to collect general public exposure data and to identify high sources of magnetic fields.

For Rd.HMM to serve as a good quality-assessment tool, the target score for the model under consideration should be known in advance.

The importance of good quality field assessments, monitoring and reporting tools for both programme planning and informing donors, national committees, media and other partners in the UN system.

A major drawback of existing approaches is in the assumption of good quality segmentation before quality assessment.

While this research provides good insight into quality assessment, the algorithm is not practical to implement, since it requires a statistically valid number of samples for each subject and probe subject to estimate the distribution of subject's features.