Sentence examples for temporal weight from inspiring English sources

Thermogravimetric analysis has been widely applied in kinetic studies of carbon gasification, with the associated temporal weight change profiles being used to extract kinetic information and to validate gasification models.

Temporal weighting methods are based upon a spatio-temporal function modifying the weight on data with respect to the time at which they have been sampled.

Self-tuning mechanism is to adopt least square (LS) and minimum variable distortionless response- (MVDR-) based method to adjust spatial and temporal weights of antenna array.

Therefore, the temporal weighting of information may follow different rules of integration and memory formation.

This approach removes subjectivity in estimating temporal weights between intervals of unequal length and uses observed movements and measurable location error to model probability of occurrence.

In analogy to the spatial weight-mapping method described by Marquand et al. (2010), temporal weight-mapping could quantify the contribution of each time-point to the formation of the decision boundary.

Proximity to major roads, incorporating a temporal weighting factor based on Canadian mobile-source emission estimates, was used to estimate exposure to vehicle emissions.

In order to increase the temporal resolution of the energy envelope, the downsampling process is removed; also smaller windows size (10 ms) and overlap (5 ms) are used in the temporal weighting stage.

Similarly, temporal weighting of the probabilistic output of the classifier based on the statistically most likely locations of neonatal seizures since the time of birth has been introduced in [21].

Lifshitz and Eksp [24] introduced a scalar theory in which the temporal dimension has weight equal to three if the space dimension has weight equal to one.

Thus, listeners from different linguistic backgrounds weight temporal and spectral vowel parameters differently.