Sentence examples for time-series information from inspiring English sources

Exact(8)

No time-series information exists on this ratio for Switzerland, but we have a number of useful pointers to the size of this variable.

The state-of-the-art research on crop-type classification has been shifted from relying on only spectral features of single static images to combining together spectral and time-series information.

Several factors had a negative impact on the relative accuracy of NSCAT-based results, including periodic gaps in NSCAT daily time-series information and a large (i.e., >2 cm day−1) spring rainfall event.

Further study involving longer time-series information, alternative radar wavelengths, and finer spatial scales is needed, however, to resolve the various components (i.e., soil, vegetation, snow) of the regional radar freeze/thaw signature for improved monitoring of the circumpolar high latitudes.

Time-series information are traditionally of particular interest when analyzing EMRs.

Our results demonstrate that even with very limited time-series information the method is able to correctly identify which of the closely related TFs regulate the given target.

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Similar(52)

Therefore, for networks involved in the DREAM 5 challenge, iRafNet estimated GRN from steady-state expression utilizing knockout and time-series data as prior information.

However, the approach is most informative when both the motif co-occurrence and time series information are combined in that we are able to identify strong correlations in promoter structure together with temporal separation of profiles between clusters.

Time-series data may have direct information about natural selection because they affect allele frequencies in time.

Findings comprise discipline-specific visualization requirements of engineers for viewing large datasets, containing static data (e.g. design information) and time-series data (e.g. piezometer data, monument measurements etc)., accumulated since the inception of dams.

However, these analyses would require an innovative integration of geographic information and time-series data.

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