Sentence examples for objective datasets from inspiring English sources

The evaluations represent the concordance and the disagreement of class area distribution from the use of heuristic judgements and the objective datasets.

The implementation of the UMWELT data in conjunction with the more passive, objective dataset extracted from complementary sensors, resulted in an alternative understanding of everyday spatial interactions.

The implementation of the application data in conjunction with the more passive, objective dataset extracted from complementary sensors, resulted in an alternative understanding of everyday spatial interactions and in a taxonomy of urban conditions - revealing the 'mood' of urban environments.

Choosing an objective testing dataset is the most difficult, especially when the datasets used in the original publications are not equivalent.

Figure 12 shows the global precipitation and evaporation (30-year average for 1981 2010) as functions of coastline length (Ogino et al. 2017) calculated from an objective analysis dataset called the Japanese 55-year Reanalysis (JRA−55) for 1981 2010 (Kobayashi et al. 2015).

For objective 2, 12 datasets from the literature (11 from objective 1) containing SGR, FR, final BW, body lipid, protein, ash, moisture, and energy (kJ/g) were used.

For objective 1, 19 datasets from the literature containing initial BW, FR and specific growth rate (SGR; % BW increase per day) were used.

Finally, we report on results (Sec. 5.3), both objective using the datasets saliency annotation as ground truth, as well as subjective, i.e., extensive qualitative user experience evaluation scores (for part of the videos).

The assumption is that the combination of objective and subjective datasets can help reveal a more comprehensive understanding of spaces and places within the city, perhaps identifying their inner 'character.' There are a number of other projects that share some overlaps with the one presented here.

The combination of objective and subjective datasets can help reveal more comprehensive insights and characters of spaces and places within the city, mediating between technology and the built environment and leveraging emotive perceptions of the urban actors in order to influence and inform design decisions.

This section describes in details the dataset, objective metrics, and performance analysis used in our benchmark.