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The model could be used, not only to estimate melt viscosity from torque and temperature, but to fully simulate the system, predicting both torque and temperature as functions of time.
This calls for new tools for the on-line detection of anomalous behaviors of the system, predicting thus a system failure before it happens, allowing the deployment of appropriate mitigation policies.
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In 2008, the system predicted the actual incumbent party percentage with an error of 0.3 percent.
(The system predicts likely ethnicity based on surname and is clearly imperfect).
The system predicts your actions with your connected devices.
The system predicted a seismic intensity of 7, estimating an offshore hypocenter with M6.9 (Fig. 6a).
NBO analysis performed over the system predicted small change of electronic configuration of central Ca atom.
In these proposals, the system predicts the future changes and executes the appropriate actions before they occur.
However, the system predicted that no flooding would occur due to the typhoon, and no flood was witnessed.
Based on the estimated eigenvalues, the system predicts whether or not parametric roll occurred.
The system predicts future actions of the users by generating models based on the users' previous interactions with the robot.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com