Sentence examples for in data processing for from inspiring English sources

Ms. Bogen now works temporarily in data processing for Fidelis Care in Queens, making $13 an hour.

The proposed model can automatically find the new clustering center with the updated sample data, and outperforms several algorithms in data processing for the OWS.

eFunds International, part of a company spun off from Deluxe, the biggest American printer of cheques, says that in Gurgaon, a suburb of Delhi, it has cut the number of errors in data processing for one client by 90%, and also cut the number of days taken to close the client's monthly accounts from five to three.

Fig. 1 Diagram showing the steps in data processing for 3D printing.

Whereas the large scale application systems like SAP in Data Processing for ERP consume a large amount of memory which results in limiting the VM migration.

The large scale application systems like Systems, Applications and Products (SAP) in Data Processing for Enterprise Resource Planning (ERP) consume a large amount of memory which results in limiting the VM migration.

The geostatistics provides a set of statistical tools for incorporation the spatial and temporal coordinates of observations in data processing, allowing for description and modeling of spatial patterns, prediction at non sampled locations, and assessment of uncertainty attached to these predictions (Webster and Burgess 1980; Burgess et al. 1981).

Emerging technologies and progress in data processing allowed for new insights on gene expression, genomics and epigenomics, and mechanisms of cancer genesis and progression.

Urban forest carbon offset can be made more relevant by making more standardized assessments available for science and professional practitioners, and the increasing availability of high resolution remote sensing data and the progress in data processing allows for precisely that.

As a general-purpose language, Python is used in synchrotrons to control device servers [8, 15, 51], to access raw data of X-ray detectors [27], to reconstruct tomography volumes from radiographs [23, 32], and in data processing packages for macromolecular crystallography [3], azimuthal integration of diffraction data [4], or fluorescence analysis [50, 52].

The future role of urban forest carbon offset can be made more relevant if more standardized assessments are made available for science and professional practitioners, and the ever increasing availability of high resolution remote sensing data and the progress in data processing allows for precisely that.