'temporal time' is a correct and usable phrase in written English.
It is most often used in relation to temporal order or timing, such as "The temporal time of the event is still to be determined."
Specifically, we consider temporal time domain (TTD) features, higher order cumulants (HOC), and wavelet based features.
Most of the features used in literature are based on wavelet [9, 10], temporal time domain (TTD) analysis [11 13], and higher order cumulants (HOC) [14 16].
This paper was originated from our previous work [[8]] that attempted to link the user from the temporal time series curve to geospatial visualizations.
The panels in (II) visualize the temporal time series (white curve) and spatial distribution map (eight representative volume images) of each network.
We achieve this by discretizing the location at 50 meters cell size, but varying the temporal time binning to 15 minutes, 30 minutes and 60 minutes, and then running the Markov model for each scenario.
An analysis of temporality was performed to detect potential differences in the reported temporal time-to-onset distributions of CRPS post-HPV-16/18 post-HPV-16/18 post-HPV-16/18r injected GSK vaccination
"The joy in creating art, any art, is that it's a snapshot of a temporal time-space and psychology.
Loosely speaking, the features can be classified as temporal (time-series/amplitude based) and spectral (frequency based).
This was one of the key objectives of the methods introduced in this study, to acquire both spatial (compartments) and temporal (time-course) data using immunofluorescence.
The S-system is based on an ordinary differential equation, in which the temporal (time-dependent) dynamic process of system components are characterized by power-law formalism.
