Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
The enormous complexity of most real signal transduction networks often impedes the application of common model reduction techniques discussed in literature as well as the previously proposed model reduction concept.
Similar(59)
We assessed Cryptosporidium as a model pathogen for our risk reduction concept due to its transmission ecology, zoonotic potential and diarrhoeic effect on susceptible animals.
By applying this method, which works using the concept of model reduction, we reduce all the insignificant nodes in the graph with a given threshold are reduced, and are flagged into a new graph structure.
Two important concepts for model reduction are refinement and coarsening of a partition.
Under the Bayesian framework, the finite element (FE) model reduction technique and the system mode concept, this paper presents a practical method for structural bolted-connection damage detection using noisy incomplete modal parameters identified from limited number of sensors.
Model reduction, parameter identifiability, and parameter sensitivity are critical, related concepts for the analysis and construction of models.
This systematic methodology incorporates the advanced concept of proper orthogonal decomposition for the model reduction of distributed parameter systems.
Finally, another natural evolution of this type of models could arrive by substituting the useful, but limited concept of linear dimensionality reduction by a much more powerful (and also more difficult to deal with) nonlinear dimensionality reduction concept (see, e.g.,[23]) which aims at modeling the underlying manifold associated to a varying pattern, low dimensional only in a local sense.
In this paper, we combine concepts of the generalized multiscale finite element method (GMsFEM) and mode decomposition methods to construct a robust global local approach for model reduction of flows in high-contrast porous media.
By providing this basis of fundamental-time-modes, the concepts of linear algebra can be taken advantage of to accomplish model reduction and superposition for nonlinear systems.
The model reduction is achieved by approximating the transverse gradients using multiple concentration modes and the concepts of internal and external mass transfer coefficients, spatial averaging over the axial length and simplified chemistry by lumping the oxidants and the reductants.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com