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The alternative approach of predicting the risk of failure is by stochastic simulations of Griffith flaws.
This approach of predicting w d cycle strength is beneficial from both engineering and economic points of view.
An improved approach of predicting rain attenuation cumulative distribution (CD) over terrestrial microwave links operating in tropical regions is presented in this article.
We present a novel approach of predicting the RTT using a Bayesian dynamic linear model, and then adjust RTO adaptively according to the predicted values.
In this research work, we proposed a novel hybrid approach of predicting stock price based on machine learning and filtering techniques which combines Support Vector Regression algorithm and Hodrick Prescott filter in order to optimize the stock price prediction.
The results suggest that this stability map approach of predicting droplet droplet, droplet protein and protein protein interactions will be useful for the future design of heat-stable emulsion-based beverages with good creaming stability at high protein concentrations.
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Meanwhile, we introduce two approaches of predicting PPIs based on cliques, Yu et al. [ 11] and Yang and Tang [ 12], to contrast with the performance of our algorithm.
This strategy makes current MemBrain approach capable of predicting half TMHs or tight turns shorter than 15 residues.
This approach consists of predicting breeding values on the basis of a larger number of SNPs [ 9- 11], utilizing linkage disequilibrium (LD) between SNPs and the QTL.
The presented co-simulation approach is capable of predicting detailed refrigerant flow behavior while accurately predicts the overall heat exchanger performance.
With the aim of systematically identifying NAMs in phosphorylation-based signaling networks, we developed a computational approach, ReKINect, capable of predicting these defined functional mutations.
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