Sentence examples for granular modeling from inspiring English sources

An overview of the parameters used in the aerobic granular modeling approaches is also presented.

In this study, we are concerned with the design of granular modeling being originally proposed by Pedrycz and Vasilakos.

The proposed solution may be further improved by implementing a more granular modeling of the key frame distortion, for example, at macroblock level.

Researches in granular modeling produced a variety of mathematical models, such as intervals (higher-order) fuzzy sets, rough sets, and shadowed sets, which are all suitable to characterize the so-called information granules.

However, the classical thermostat algorithm in highly coarse-grained molecular dynamics method would underestimate the thermodynamic behaviors of soft matters (e.g. microfilaments in cells), which can weaken the ability of materials to overcome local energy traps in granular modeling.

The objective of this effort was to leverage best practices and existing TA methods to develop a novel approach to complex task decomposition and analysis that would enable highly granular modeling of both isolated and integrated task components, as well as identification of metrics necessary to assess performance and provide intelligent instruction in real-time.

From the design standpoint, we are interested in studying the following issues: (a) effectiveness of boosting when applied in this modeling framework along with its numeric quantification, and (b) impact of information granularity at which the granular models are developed on the improvements offered by boosting procedure itself.

Measuring granularity is a promising means of verifying the effectiveness of the fuzzy granular model.

A suite of modeling situations is elaborated on; they offer convincing examples behind the emergence of granular models.

In this paper, the design method of Sugeno-type granular model is proposed on a basis of an optimal allocation of information granularity.

a Linear models and granular models of time series [74] and b lobes of human brain (coarser granularity)—http://www.brightfocus.org/alzheimers/about/understanding/anatomy-of-the-brain.html and c gyrus and sulcus of human brain (finer granularity)—http://what-when-how.com/neuroscience/overview-of-the-central-nervous-system-gross-anatomy-of-the-brain-part-1/.