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The timely parameter acquisition by 25 Zig-bee nodes and effective prediction by the proposed model shows great practicability in safety and hazard prevention.
The strength and weakness of the proposed approaches are shown; in particular, the model shows great accuracy even though it requires minimal computational effort.
The application of the model shows great success in predicting the activities of 40 known c-Kit inhibitors in our test set with a correlation coefficient of 0.709 with a cross validation of 95% confidence level.
Although this new model, as an augmentation of Newman's model, shows great promise, both of these models require measurements of opening loads which are avoided by Donald's 'adjusted compliance ratio' and other approaches.
The application of the model shows great success in predicting the activities of 65 known 5-LO Xinhibitors in our test set with a correlation coefficient of 0.85 with a cross validation of 95% confidence level, proving that the model is reliable in identifying structurally diverse compounds for inhibitory activity against 5-LO X 5-LO X
This hierarchical model shows great potential in feature representations.
Similar(52)
Based on analytical view factors, the detailed radiation heat transfer model shows greater uniform distribution of current density and solid temperature.
In particular, the minimum information pair-copula model shows greater flexibility and produces better approximation of the joint probability density and corresponding measures have capability for effective hazard assessments.
The RSM model shows greater deviation than the ANN model.
The ANN model shows greater deviation than the RSM model.
The distributed lag model shows greater effects at lags 1 and 2 exposure, with an overall effect considerably larger than for a single year.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com