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Figure 10 Comparison of integrated convergence rates.
Comparison of integrated convergence rate under Gaussian noise with standard deviation 0.00, 0.05, and 0.10.
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What is required is a new concept of "integrated diagnostics": the convergence of imaging, pathology, and laboratory tests with advanced information technology (IT).
Genetic algorithm (GA) and iteration method are integrated to improve the convergence speed additionally.
These resources are integrated using a 'genomic convergence' approach and an implication index that measures the number of data sources that support the model.
A key challenge to obtain a convergence of classical Si-based microelectronics and optoelectronics is the manufacturing of photonic integrated circuits integrable into classical Si-based integrated circuits.
This can be seen from (a) the low-pressure center and the maximum BL convergence center being located to the east of the precipitation center, and (b) the "integrated" low-pressure and BL convergence to the east of the precipitation center being much stronger than those to the west of the precipitation center.
Therefore, this article defines the IT convergence in three stages by integrating the systematic and substantial convergence types and the convergence level study of the operational, competent and strategic convergence level [10, 11].
Survey results and consideration of convergence and divergence were integrated into the manuscript and the final draft was sent to the developers/experts for final approval of accuracy.
With the proposed corrections being progressively integrated over the iterations, the algorithm has guaranteed convergence to the process optimum and also, upon convergence, the final corrected model predicts the process behavior accurately.
This model was integrated for 107 virtual seconds to a convergence of 1.6 × 10-13 (μM/s) μM-1.
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