Sentence examples for characteristics to set from inspiring English sources

Using this framework of knowledge, cotton scouts can use appropriately classified remote sensing imagery, subset by sprayer characteristics, to set boundaries for habitat classes and geo-spatially define sample units to create an information network for implementing site-specific insect pest management decisions.

We studied each modality separately and revealed their own characteristics to set the stage for the integrative study.

The second part of the AET method consists of using the degree of selection on observable characteristics to set a bound for the degree of selection on unobservables.

Soft decisions for message passing are known to lead to better coding performance than hard decisions because the soft decision algorithm can use statistical characteristics to set the channel modeling parameters.

We combine all the characteristics to set the following scenario: the c-agent moves randomly around his home but does not travel too far due to the costs of travelling.

As with certain fabled trios of pigs and bears, the Debras have different characteristics to set them apart.

It is necessary to measure thermal responses to identify room characteristic to set a target for heat consumption.

The seabass, Dicentrarchus labrax L., is a leading species in European marine aquaculture, but its genetic characteristics necessary to set up breeding programmes are still unknown.

As one of Coutu's interviewees puts it, "More than education, more than experience, more than training, a person's level of resilience will determine who succeeds and who fails". Theories abound about what produces resilience, but three fundamental characteristics seem to set resilient people and companies apart from others.

Besides education, Chinese parents also have a few other characteristics that appear to set them apart from their foreign peers.

However, their workflow representations specify the software to run at each step, but do not represent constraints such as whether an algorithm is appropriate given a dataset's characteristics or how to set a software tool's parameters to get best results.