Sentence examples for methods and state from inspiring English sources

Our group is focused on using strong research methods and state of the art neuroimaging tools to investigate the emotional and cognitive factors that influence pain as well as the neural plastic changes that occur in chronic pain.

In the previous sections, we have investigated the particle filtering methods and state estimation for networked systems, respectively.

These methods are applied to nonlinear reliability prediction when compared with physical model methods, which mainly include computational intelligence methods, statistical methods, and state space methods.

Experimental results show that our approach outperforms both baseline methods and state-of-the-art methods on various evaluation metrics.

By utilizing highly controlled tissue collection methods and state-of-the-art tissue processing techniques, the researchers found thousands of newly formed neurons in 13 healthy brains from age 43 up to age 87 with a slight age-related decline in neurogenesis (about 30% from youngest to oldest).

The resulting algorithm, which we name SHeArlet based No-reference Image quality Assessment (SHANIA), is tested on several database (LIVE, Multiply Distorted LIVE and TID2008) and shown to be suitable for many common distortions, consistent with subjective assessment and comparable to full-reference IQA methods and state-of-the-art general purpose NR-IQA algorithms.

I find a small but significant difference in competitiveness between states with political redistricting methods and states with non-political redistricting methods.

Subsequent sections in this paper discuss some of the basic definitions, provide an overview of the various preprocessing methods and state-of-the-art data processing tools for multivariate analysis that are widely used in Raman and IR spectroscopy.

With the implementation of modern quarry production methods and state-of-the-art techniques, Turkey is among the seven leading large producers of natural stone in the world [2].

The numerical results show that the new SL-TLBO algorithm is a viable alternative approach for solving both small and large scale dynamic dispatch problems and outperforms other popular heuristic methods and state-of-the-art TLBO variants in the tests on well-known benchmarks and DEED problem with proper parameter tuning.

Furthermore, two methods in the NSST domain, GΓD ‐ NSST [13], NIG ‐ NSST [13], and a high-order total variation method based on compressive sensing called High-TV [15] are also applied to compare the achieved performance among the proposed methods and state-of-the-art papers under the same circumstances.