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Finally the predicted value of the neural network was compared with the measured value by automatic optical level, which showed that the prediction model achieved good accuracy, and could be accepted in the engineering application.
The hypothesised model achieved good overall fit as indicated by a RMSEA of 0.030.
The model achieved good overall fit as indicated by a RMSEA of 0.030 900% CI 0.028 to 0.033).
This model achieved good performance characteristics including an area under the curve (AUC) of 0.80 (95% CI 0.73 to 0.86).
Our model achieved good cross validation performance for most drugs in the Cancer Cell Line Encyclopedia (≥80 % accuracy for 10 drugs, ≥ 75%% accuracy for 19 drugs).
After recalibration, the Atherosclerosis Risk in Communities model achieved good calibration, the San Antonio Health Study model showed a significant lack of fit in females and the Framingham model showed a significant lack of fit in both females and males.
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We show that even our patternbased model achieves good performance on the task, and the self-trained models rank among the top systems.
The model achieves good agreement with flow stress strain evolution and yield data collected over many studies.
Compared to Random-based and Forces-based mobility models, the Alpha-based mobility model achieves good coverage rate while maintaining connectivity.
The RF/microwave equivalent circuit model achieves good agreement with the experimental results of the single-crystalline SiNM PIN diodes with different diode areas, and reveals the most influential factors to flexible diode characteristics.
The Logarithmic based model order reduction technique is proposed to reduce the single and two-area high order power systems for the application of controller design.The proposed IMC-PID design of reduced order model achieves good dynamic response and robustness against load disturbance with the original high order system.
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CEO of Professional Science Editing for Scientists @ prosciediting.com