Sentence examples for data processing for modeling from inspiring English sources
To accommodate these issues, this paper proposes a Tera (to denote the order of millions -modeling framillions -modelingizes current technologies oframeworkomputing and Big data processing, for modeling a city, by allowhichinfinite resoutilizesd current intechnologies
Researchers from different application domains within the field of context-aware computing have investigated context recognition for the past 2 decade or so by developing a diversity of sensing devices (in addition to methods and techniques for signal and data processing, pattern recognition, modeling, and reasoning tasks).
Maurice (Snookey) Reed, 79, retired supervisor of data processing for the city of Springfield, Ohio.
Data processing for small RNA reads.
Further, Peddi et al. propose an intelligent cloud-based data processing model for mobile e-health multimedia applications [13].
Due to high-dimensional and dynamic oceanic data, we propose an intelligent integrated data processing model for the OWS.
Thus, the conceptual framework follows the typical steps of conducting a model-based ESS: collection and preparation of empirical data for the model-based data processing, assumption-making, model application and preparation of model outputs as well as deriving comprehensive conclusions and recommendations.
We designed a pragmatic data processing model optimised for patient identification and for the collection of necessary information from EMRs for clinical research.
However, post data processing and model correlation for fatigue small-crack growth has not progressed in a parallel manner to the measurement technique.
The KNIME workflow package [27] has been utilised for data processing, model building and prediction as well as the framework for the development of the prototype methodology.
In this context, there are both experimentation techniques (for example gel randomisation [ 54]) and mathematical procedures (general logarithmic transformation [ 55, 56]) to ensure proper data pre-processing for model calibration.
