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This work developed a computational process to predict noise radiation from gearboxes.
Comps are identified by editors in the acquisition process to predict a book's performance on the market and are often the deciding factor in a new acquisition.
Furthermore, the resistivity change data can be used in the design process to predict the response of components manufactured using reconfigurable composites.
This paper develops a numerical process to predict minimum door-closing velocity from both a real vehicle's geometrical/physical data and virtual reaction force versus closing time data.
The Garvey Kelson relations are used in an iterative process to predict nuclear masses in the neighborhood of nuclei with measured masses.
In the past, there has been significant work to develop methodologies that simulate the cure process to predict the thermoset network topology and the properties of that network.
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Use of tree statistics as features for classification further illustrates the importance of models of the evolutionary process to predicting future progression, a problem of importance to cancer treatment and diagnosis.
Strain based Keeler Goodwin diagrams are widely used in forming processes to predict onset of local necking.
Settlements of the land surface observed in the recent past are compiled and processed to predict regional subsidence in the near future.
This involves building an anxiety-recognition system capable of interpreting the information contained in physiological processes to predict the probable anxiety state.
The Monitor provides the Link Prediction with relevant measurement data (e.g., signal quality and messages concerning upcoming changes in link availability) that needs to be processed to predict future link quality for each of the interfaces.
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