Sentence examples for correction validation from inspiring English sources
As a rapidly growing source of volunteered geographic information (VGI), web-based geotagged photos have great potential to provide ground truth data for remotely sensed products and hydrological models and thus contribute to procedures for cloud removal, correction, validation, forcing and assimilation.
PCA was performed also on the second derivative spectra, 13-points smoothed and vector normalized, using the non-linear iterative partial least squares (NIPALS) algorithm and leverage correction validation method.
Principal component analysis (PCA) was performed for each cell line population and then for both cell lines grouped together, using the nonlinear iterative partial least squares algorithm and leverage correction validation method.
Specifically, the CCD monitoring mechanism was used for correction and validation of the robot device.
It enables the correction or validation of the FORM approximation with only a very few mechanical model computations.
This paper presents the results of a comprehensive programme of correction and validation of a low-cost device referred to as an eMote for pervasive monitoring and is the first to quantify the accuracy of inexpensive noise systems that use microphones typically costing about one Euro.
Calibration, drift correction, and validation were performed using the algorithms provided by the instrument.
In addition, the framework already provides several algorithms to perform some of the standard steps in the assembly pipeline (e.g., Trimming, Overlapping, Error Correction, Scaffolding, Validation).
iMetAMOS (Koren et al. 2014) is an automated assembly pipeline that provides error correction and validation of the assembly.
These limitations require correction and validation before exhaled breath condensate can be reliably used to assess disease progression in patients with COPD.
When ignoring this correction, the validation reliabilities of genomic predictions for CH bulls using the joint reference dataset were unrealistically high at 0.69, 0.54 and 0.60 for milk yield, fat yield and protein yield, respectively.
