Sentence examples similar to user interpretations from inspiring English sources

Thus genotype profiles were called without user interpretation, resolved by an expert or identified as un-interpretable by an expert.

Thus, the user interpretation to grasp the meaning of this sign will not be accurate.

This reduction in user interpretation and input removes some of the technique's reliance on user accuracy.

The analysis of Infrared thermography (IRT) data to evaluate the condition of concrete bridge decks still relies on user interpretation of thermal images.

Unlike the line-point intercept method, which requires user interpretation of vegetation greenness, the new method uses spectral data collected across the entire reflected solar spectrum to derive estimates of GV, NPV and soil fractional cover through spectral unmixing.

Furthermore, the concentration response data is being made public with this article for user interpretation (http://actor.epa.gov).

We reviewed implementation experiences for five electronic laboratory systems and identified problems with data transmission, sensitivity, specificity, and user interpretation.

The MLPA genotypes were called without user interpretation for 74 isolates, after expert review for a further 25 isolates and one isolate produced a profile that was uninterpretable.

Similar to the situation of traditional factor analysis, the choice of rotation depends on the data structure and user interpretation, which is beyond the scope of the GLFD method.

RDT performance in the field is influenced by many factors such as manufacturing quality, handling and storage conditions, user interpretation, parasite density and limits of detection (which partly depend on parasite biology, e.g., P. vivax parasitemia is characteristically low), and the recent discovery of some region-specific field isolates lacking the HRP2 protein.

Currently, extracting quantitative data from time-lapse sequences involves user interpretation and manipulation of individual frames using software such as ImageJ (http://rsbweb.nih.gov/ij/) or KineRoot (Basu et al., 2007), and there is a distinct need for tools to automate quantitative data extraction from high-resolution images (Brown et al., 2012).