Sentence examples for fluctuated data from inspiring English sources

Exact(1)

The analyzed data comprised a space series of a row × column-pixel image of a single instant, not the temporal series (fluctuated data with the passage of time) generally used for this type of frequency analysis.

Similar(59)

Validation results indicated the proposed model could be used to achieve a stable prediction effect with high prediction accuracy for the prediction of fluctuating data.

Chung will also discuss the complexity of reconstructing histories with fluctuating data and shifting boundaries, and her commitment to challenging the politically driven historical amnesia in countries currently under dictatorship.

During a video streaming session, where live video is playing from the Internet on whatever machine you're using, fluctuating data capacity is a major challenge for video.

The longer the projections, the lower the accuracy of the Dutch GP workforce projection model is. 2. The shorter the base period, the lower the accuracy of the Dutch GP workforce projection model is, because short base periods could be influenced by fluctuating data.

Results showed good agreement for all ages with many records, but fluctuated where data were sparse.

Concordantly, the frequency of the reddish adult wing pattern variety appears not to support a separate entity as it did not rise in frequency in correlation with ' italica' in Italy through time but fluctuated independently (data not shown; but see Additional file 1: Table S1).

We simulated the approach, and the results show that CSTP can generate steady throughput with fluctuating data streams of different data loss patterns, and can transfer data in parallel at a higher speed than multiple independent UDP streams.

Matsuda's installation was a real-time data sculpture that presented London and its infrastructure as a giant paper lantern patchwork of fluctuating information.

Mean and fluctuating concentration data obtained using laser Raman spectroscopy are also described, and compared with mean data gathered using aspirated hot film probes.

It has been used for improved sub-sampling algorithms, post-processing of fluctuating numerical data, blind image restoration, computer-aided quality control, segmentation of textures, and remotely sensed data.

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