Sentence examples for multidimensional output from inspiring English sources

While traditional techniques such as EDA or SA (or other statistical techniques) are useful, they may fail to fully capture a complex, multidimensional output that may result from agent-based simulations.

The present work is devoted to the assessment of analytical applications of a new instrument for multicomponent analysis in liquid media — "electronic tongue", based on an array of originally designed non-specific solution chemical sensors and pattern recognition tools for processing of multidimensional output of this sensor array.

There is a growing interest in the social simulation on the application of data mining techniques to analyze multidimensional outputs that are generated from agent-based simulations across a vast parameter space.

For this reason, poly-spectra output multidimensional data structures which comprise redundant information, distributed in multi-dimensional geometries, often called tensors.

This type of computation can be interpreted as successive transformations of the multidimensional input X into outputs of reduced dimensionality.

Similarly, depending on the context under analysis, we could consider an array of steering institutions, multidimensional signals, complex forms of output and sophisticated methods of feedback in the construction of a model of smart institutions.

Column-switching LC set-ups are frequently used in multidimensional LC to maximize analytical output [ 25]; recently, they have allowed online mixing of solvent for RP-HILIC in experiments using small molecules and chromatographic profiling [ 26, 27].

Therefore, the SOM network is composed of a multidimensional input layer and a bidimensional output layer, in which neurons compete in order to define a winner.

As output, TACO provides a multidimensional view of overrepresented cell-type specific motif cell-type specific

The latter is then used as the initial condition for a multidimensional, morphological population balance model, whose outputs are fitted to 2D particle size distribution measurements obtained from seeded batch desupersaturation experiments.

At first, the outputs of the features are multidimensional.