"unified representation" is a correct phrase and can be used in written English.
It refers to a single, cohesive and comprehensive representation of something. You can use it to describe a situation where multiple elements or ideas have been brought together into a single form or framework. Example: "The new software system provides a unified representation of all the company's financial data, making it easier for managers to analyze and make decisions."
In general, systems biology can benefit from using OPM as a generic framework for knowledge capture and representation, particularly since it enables balanced and unified representation of the system's structure and behavior using both objects and processes in the same diagram.
Our framework enables the unified representation of a family of all-pass filter-based design methods.
Dissipation mechanisms of Godunov-type schemes are presented in the framework of unified representation.
This chapter illustrates a unified representation including logic processors (LP), and multilayer perceptron (MLP) neural networks.
The four-level architecture allows one unified representation for multiple product models.
This unified representation facilitates very tight integration between the planner and the controller.
To address this issue, we first introduce a granular structure distance to measure the difference between two granular structures within a unified knowledge representation.
Accordingly, in order to realise its potential in the context of analysing large data streams of CAPs, we need to address following shortcomings [35]: Need for unified data representation format: before formal reasoning can be applied, heterogeneous values have to be represented in a common format – RDF.
The results showed that the novel action can be successfully imitated by decomposing and composing it with the primitives by means of organizing unified intentional representation hosted by mirror neurons even though the trajectory-level appearance is different between the ones of observed and those of self-generated.
Such unified graphical representation should overcome the current situation in which many different styles of networks are used in biochemical, biological and medical books, articles and online resources.
Drawing on these previous studies, we interpret the frequency-based enhancement of the MMN as reflecting stronger unified lexical representations for more frequently used opaque compounds and only a very weak representation for low frequency compounds.
