Sentence examples for models and stated from inspiring English sources

Coecke et al. (2007) provided a comprehensive overview of the existing in vitro models and stated that, "although all the test systems described were not developed for regulatory purposes at this stage if they prove useful, we hope that this report will encourage their further development to render them amenable to high-throughput approaches".

The hourly sequential models and state variation models for wind turbines, solar array and battery are established.

The paper outline is as follows: Section 2 describes the system, measurement models, and state estimation.

There we set up the sequence of microscopic models and state conditions for convergence.

In the former case, we seem to be able to translate between models and state spaces.[3] In the latter, we can derive a state space for chaotic models from the full nonlinear model, but we cannot reverse the process and get back to the nonlinear model state space from that of the chaotic model.

A probabilistic hierarchical scheme is designed based on Gaussian mixture models and state-of-the-art sound parameters selected through extensive experimentation.

Experimental results indicate that the developed CNN architecture outperforms both feature-based learning models and state-of-the-art deep learning models with an accuracy of 67.58%.

Maximum likelihood parameter estimation is used to set parameters for the 10 sequence models and state transitions.

However, when considering differences in performance measures between groups across tasks, results may be better explained by motivational models and state regulation theory.

Pseudo-steady-state (PSS) models and unsteady-state (US) models are presented for a flat plate.

In this section, we first introduce the regularized models and then state the bifurcation results.