Sentence examples for capabilities of temporal from inspiring English sources

The privacy information is also encoded in the same fashion as we assume that the system only has access to a codec which has no capabilities of temporal prediction.

The spatially filtered t frame obtained with the methodology developed in Section 2 is used once in order to provide the temporal algorithm of a filtered t frame to be used for reference to enhance the capabilities of the temporal algorithm from the first frame of the video stream without losing significant results, and the corrupted t + 1 frame of the video sequence.

This paper presents an overview of the evolution, advancements, and capabilities of the temporal analysis of products (TAP) reactor system as a unique catalyst characterization tool.

In these application scenarios, NSF-CAES has many advantages, such as the capabilities of spatial and temporal power shifting, cold-heat-power tri-generation, zero carbon emission, high efficiency, off-the-shelf technologies, convenient equipment manufacturing, short construction period, and low investment risk.

The SILS tool has the capability for temporal and functional simulations of control systems.

With the high spatial and temporal resolution capabilities of laser-induced incandescence (LII), the spatial and temporal fluctuations of the soot field within a gravimetric chimney were characterized.

First, neural synchronization, which may be critical for such interactions, usually occurs on a time-scale that is beyond the reach of the temporal resolution capabilities of fMRI14,17,18.

The digital capabilities of MEMS may allow greater temporal control over drug release compared to traditional polymer-based systems, while the batch-processing techniques used in the microelectronics industry can lead to greater device uniformity and reproducibility than is currently available to the pharmaceutical industry.

It could be argued that this system did not fully exploit the temporal modelling capabilities of the HMM framework.

This methodology provides fast and practical solution for depth estimation in shallow waters, coupling temporal and spatial capabilities of remote sensing imagery with modeling flexibility of ANN.

Our results also showed that assemblages exposed to intermediate and, to a lesser extent, high levels of temporal variance of disturbance had greater resilience (i.e. recovery capabilities) than control and LV assemblages.