Sentence examples for models our framework from inspiring English sources

Compared with other ecological dynamic models, our framework includes theories that are easy to understand and has modest requirements for assembly and scientific expertise.

Based on the above information models, our framework can automatically compare the response time of services on different cloud resources and use appropriate cloud resources for offloading.

In contrast to previously proposed models, our framework predicts a wide range of impedance control patterns, during stationary and adaptive tasks.

The main paradigm of PEDI is 'divide' and 'conquer'; by using the given mRNA data and exploiting the structure of gene circuit models, our framework divides a high-dimensional parameter estimation problem into subproblems with a much smaller parameter space, each of which is, in turn, conquered (i.e. solved) by using any constrained optimization method.

Although we draw on the Chisari et al. (2013) framework, our model is not concerned with economic growth for simplicity.

Due to the unavailability of full CSIT in our framework, our model is better suited to the case of multicarrier OFDM systems, with M parallel subchannels located at nonadjacent carrier frequencies.

Interpreted within an information-theoretical framework, our model has sufficient generality to accommodate other interactions based on constraint satisfaction mechanisms, such as protein networks, where the interactions are dictated by certain steric and chemical conditions.

Importantly, by using ideal observer models, our mathematical framework allowed us to treat these tasks in a unified formalism even though they had different task requirements and were different at a psychological level.

Lastly, although our method is within the PDS modeling framework, our introduced description of the search space can be applied as well to other Boolean modeling approaches.

The current models in our framework could be coupled to other models that, in turn, determine the medium content by simulating the metabolic nutrients available in a human macrophage cell.

By varying the parameters in the source and channel models of our framework, different source and deployment scenarios can be modeled.