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The clinical data deficiencies are the major concern.
The authors justify this by arguing that they have created a framework that exposes the data deficiencies, and so spurs others to remedy them.
It is concluded that these differences are related primarily to input data deficiencies.
The study shows how modelling can compensate for data deficiencies, to maximise outcomes.
The differential geometry techniques often used in this approach are intrinsically vulnerable to scaling and data deficiencies.
We notice two data deficiencies issues that lead to this lack of geospatial connectivity of the 3D models attained from photo collections.
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Read more stories like this: Global food waste campaigns suffer from data deficiency A third of the world's food is wasted – how can we stop the rot?
New methods should also be explored simultaneously to evaluate the risk of hidden failure under the condition of data deficiency.
While a range of approaches have been proposed to estimate population abundance based on existing data, data deficiency is ubiquitous.
The case of data deficiency explored in the study is important because it is a relatively general situation in practice.
Auxiliary data sources, like videos, are thus necessary to overcome the data deficiency in photo collections and to obtain more complete models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com