Sentence examples for augment the dynamic from inspiring English sources

To reason about unexpected observations and their correlations across poses, we augment the Dynamic Bayesian Network for Markov localization to include varying edges and nodes, resulting in a novel Varying Graphical Network representation.

Neural mass models (describing the coarse grained activity of large populations of neurons and synapses) have proven especially useful in understanding EEG rhythms [41], as well as in augmenting the dynamic causal modelling framework (driven by large scale neuroimaging data) for understanding how event-related responses result from the dynamics of coupled neural populations [42].

The second tool, eventscape, augments the dynamic programming algorithm to compute the set of events that are common to every reconciliation in a region.

BLEST is proposed to augment the spatiotemporal fusion system and further support diurnal dynamic studies in land surfaces.

Tim Cahill may sneak onto the end of the bench, but the return of Thierry Henry (turfphobia) to augment the Bradley Wright-Phillips-Lloyd Sam-Peguy Luyindula dynamic should get the goals flowing".

The results of this study suggest that resisted dynamic warm-up protocols may not augment the production of power performance in high school football players.

It's all set in a persistent environment, complete with dynamic events, where survival elements and trading augment the tactical action.

Dynamic effect, such as nanoparticle dispersion may effectively augment the system performance.

This concept supports the view of a dynamic but long-living complex in which TtoA peptides augment the transmembrane barrel of TtOmp85.

We now present dynamic light scattering analysis for the wild-type human enzyme activated by Ca2+/CaM to augment the data for the T286D mutant that had been presented in the original manuscript.

CTEP and STEP are the co-training and self-training based ensembles that use the "dynamic balancing" approach introduced in [ 15], in which only positive instances are used in semi-supervised iterations to augment the originally labeled training data.