Sentence examples for predictions field from inspiring English sources

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The "Sound Predictions Field Experiment" (FE) was a test of the PWS-Observing System (PWS-OS) and the culmination of a five-year program to develop an observational and prediction system for the Sound.

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By means of these values, we then calculate the sensitivity and the Positive Predictive Value (also known as specificity in the gene prediction field [ 27]): Note that we consider all islands not overlapping with the gold standard as false positive predictions.

We therefore based our quality assessment on sensitivity, a measure not dependent on the false positive rate, as well as on the estimation of the lower bound for the positive predictive value (PPV, see Data and Methods), a measure used in the gene prediction field under the name of specificity [ 27].

One prediction: Field goals won't win this game.

Nodes in DS-MAC put the prediction field into ACK packets, which decreases the waiting delay of source node.

A series of short taken packets are transmitted to wake the receiver, and a prediction field is introduced in the ACK packets (GRANT/RELEASE) to reduce the waiting time of the source node.

It is typically regarded as the simplest one in the standard, which includes all the H.264 tools with the exception of the following tools: B-slices, weighted prediction, field (interlaced) coding, picture/macroblock adaptive switching between the frame and field coding (MB-AFF), context adaptive binary arithmetic coding (CABAC), SP/SI slices and slice data partitioning.

The space-weather-prediction field is also benefitting from new technology.

However, since the biological paradigm is shifting from one gene, one promoter to one gene, multiple promoters, it also imposes computational challenge to the promoter prediction field.

Indeed, it is difficult and time-consuming to obtain such labels in the protein function prediction field as each protein instance may has multiple functional classes simultaneously.

Despite the advances within the last twenty years in the EEGseizure detection and prediction field, generalised detection approaches remain relatively poor.

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