Sentence examples for approach can represent from inspiring English sources

Additionally, the experimental results also show that our approach can represent the semantic relationship of the given entities effectively.

We also demonstrated that the developed lumped parameter approach can represent situations where the system is initially contaminated, and can be used to optimize the thickness of the iron layer.

The results show that, when the datasets under study are affected by severe non-linearities and comprise few observations, the proposed approach can represent a feasible alternative to classical methodologies (i.e. Scheffé polynomial fitting by means of Ordinary Least Squares - OLS - and Cox polynomial fitting by means of Partial Least Squares - PLS).

Therefore, the proposed approach can represent a useful complement to the genomic approaches commonly used for this kind of studies, by allowing to directly analyse the phenotypic expression of OBPs instead of their transcription patterns.

Furthermore, scale-based approaches can represent a solution to scale mismatches that have resulted in failure to achieve conservation objectives (Delsink et al. 2013).

The use of reprogramming approaches can represent and provide groundbreaking strategies previously unachievable for stem cell engineering aimed at modulating immune responses.

While 1% samples drawn from reference datasets using different sampling approaches can represent the reference data well, distribution of parameters has been shown to be an important consideration.

In such an approach, can be represented as a piecewise signal, where each piecewise segment is realized in the interval with to accommodate segments.

Another generic approach can be represented by the simulation/emulation framework described by De Mil et al. [24] where a generic energy harvester is simulated/emulated as a complex energy source which is composed by a harvester always connected to a energy storage such as an ultracapacitor.

We introduced a combined synchronous asynchronous modeling approach that can represent the asynchronous behaviour of regulatory networks in run time proportional to the synchronous models.

The same approach can be used to represent any set of properties and is expected to aid in interpretation of multi-dimensional data.