Sentence examples for data driven framework from inspiring English sources

Granger causality identification is a potential approach for the detection of possible interactions in a data driven framework couched in terms of temporal precedence.

Here we introduce a data driven, Bayesian framework to quantify DEM predictions.

SSVS adds a coherent data driven probabilistic framework to search through the fixed effects and identify potentially important associations [ 16– 18, 35].

This empirically driven framework serves as more of a "how-to" guide than an analytical framework.

Alternatively, we could place these observations within a theoretical hypothesis driven framework [ 15, 37].

The goal is to illustrate how degradation data can be modelled and analysed to flexibly determine reliability to support preventive maintenance strategy making, based on a general data-driven framework.

Focused on the problems arising from the lack of systematic and comprehensive integration, an information transfer-based novel data-driven framework for fault root cause tracing of complex electromechanical systems in the processing industry was proposed, taking into consideration the experience and qualitative analysis of conventional fault root cause tracing methods.

The concept of building entire image processing workflows with exclusively data-driven components can provide elegant and complimentary solutions for the motion control process and is the basis for defining the data driven motion control framework.

Fig. 3 The basic framework of experimental data driven modeling methods (Liu et al. 2013).

We address this limitation by developing a novel design framework for multi-mode, data driven signal processing systems, where different application modes with complementary trade-offs are selected, configured, executed, and switched dynamically, in a data-driven manner.

Additionally, the methodology used here has the potential to serve as a robust framework for top-down, data driven analyses of the relationships between changes in the hydrologic cycle and the spatial context within which those changes occur.