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A plastic mechanism approach, including second order effects, is shown to be a simple and effective tool for predicting the collapse load and also for simulating the load-shortening response.
This research shows that the proposed artificial intelligence prediction model with CVS can provide an effective tool for predicting color and marbling in the pork industry at online speeds.
This indicated that the ANN model was an effective tool for predicting the efficiency parameters of the absorber.
Given its stronger response to climate anomalies, streamflow offers a more effective tool for predicting climate variability impacts on South Texas water resources when compared to precipitation.
The proposed method may provide an accurate and effective tool for predicting the fatigue life of the steel wheel in the cornering fatigue test.
Recently, computational fluid dynamics (CFD) has become a more cost effective tool for predicting detailed flow information in turbine space to enable the selection of the best design.
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The developed off-road vehicle ride dynamics model could serve as an effective and efficient tool for predicting vehicle ride vibrations, to seek designs of primary and secondary suspensions, and to evaluate the roles of various operating conditions.
This suggests that the proposed method could serve as a very cost-effective tool for predicting protein structural class especially for low-similarity datasets.
The use of morphologic and immunohistochemical data has been previously suggested to provide a helpful and cost-effective tool for predicting BRCA1 mutation among young breast cancer patients [ 2, 29, 30].
Computational Fluid Dynamics (CFD) can be an effective tool for understanding and predicting the multiphase flow inside tanks.
ANN is an effective tool for developing prediction models with high value for predicting CA dysfunction among the general population.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com