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Thus, rule based classifier algorithms which have proven performance with non-genetic datasets [ 12], could provide a valuable complementary method for the analysis of genetic association studies.
III V semiconductor nanowires (NWs) with highly controlled structural and compositional heterostructures not only play an important role for fundamental research but also have proven performance potential for devices within electronics, photonics, and energy harvesting.
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Results have proven excellent performance in steady and transient states, and verify the validity of the proposed predictive current control which is compared to other control strategies.
Stick with funds and money managers that have proven market performance over a decade or more.
The ANN and SVM algorithms also have proven good performance and robustness in several studies (e.g. Shao and Lunetta 2012, Were et al. 2015).
The simulation and experimental results have proven the good performance of the microgripper.
Although current majority voting testing strategies have proven effective, the performance of individual methods is not taken into account.
The experimental results have proven the superior performance of CROG compared to genetic algorithm (GA), ant colony optimization (ACO) and quantum-inspired evolutionary algorithm (QEA).
Luckily, linear methods have proven a high performance for a number of classification tasks in the field of EEG-based BCI systems.
Programs that align employees' compensation – merit increases, bonuses, long-term incentives – to their performance have proven to be very effective in driving actual performance.
A number of hydrological studies have proven the superior prediction performance of hybrid models coupled with data preprocessing techniques.
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