Sentence examples for database required for from inspiring English sources
More importantly, two years' worth of repayment receipts gives Lenddo the kind of database required for fine-tuning its software.
The database required for the modelling was constructed using design of experiment (the Box-Behnken method) followed by oxidation experiments.
In this context, a Decision Support System (DSS) for the design of CMS is being developed, and the purpose of this work is to present the conceptualization of the database required for such DSS.
Because of the specificity of the large database required for the solution of various problems, thermodynamics is a fertile area for SCE-embedded applications designed for the storage of data in symbolic/ numerical form adapted for SCE processing.
A neutronics benchmark experiment on copper assembly was performed end 2014 beginning 2015 at the 14-MeV Frascati neutron generator (FNG) of ENEA Frascati with the objective to provide the experimental database required for the validation of the copper nuclear data relevant for ITER design calculations, including the related uncertainties.
Therefore, the protein database required for the interpretation of mass spectra from circulating antibodies differs between individuals.
This study was also carried out in Israel, which maintains the kind of large centralized health databases required for such research.
Relevant knowledge from networks and pathways resulting from omics analysis would be used to design these new submodels and data from omics databases required for calibration and validation.
By reducing the number of windows and databases required for a search, data exploration may be improved by limiting the risk of user confusion.
The paucity of PASI scores in the database required imputation of scores for most of the study population.
Using the C4.5 modelling technique, which we consider a CART variant, sample sizes of 2000 for the LED database, 8000 for the CENSUS database and 12000 for the WAVEFORM database were required for a model being no more than 1% less accurate than a model based on all the available data.
