Sentence examples for quality prediction methods from inspiring English sources

Traditional air quality prediction methods depend on numerical data and require more computational power for the estimation of pollutant concentration and thus producing an unsatisfactory result.

There exist enormous historical data for the typical products in large batch production; while for small-batch customized products, the lack of sufficient historical data may prevent successful application of traditional data-based process modeling and quality prediction methods.

Two MPEG-4 encoded video quality prediction methods based on several MB level statistics, derived from bitstream and reconstructed videos, are reported in[182] for PSNR and in[183] for SSIM.

The multi-model quality prediction methods generally perform better than the single-model quality prediction methods given the pool of models is sampled by independent structure predictors.

In this paper, a new statistical process analysis and quality prediction method is proposed for multiphase batch processes.

On the basis of the correlation between the properties of 19 coals and 64 coal blends and their cokes carbonized in a simulated coke oven (SCO), a coke quality prediction method has been developed and successfully tested for many Chinese coals that have been used for coke-making at Baosteel.

In[133], a set of artifacts, namely, blocking, ringing, truncation of the number of bits for image values, and noise is combined with a set of features including contrast and sharpness for designing a video quality prediction method.

Thus, this study focused on reducing the resource demands of introducing our proposed cell quality prediction method in medical facilities that have to continuously run their current therapies without introduction of expensive hardware for automated image-acquisition.

AUC is an area under the receiver operating characteristic (ROC) curve, which illustrates dependence of true positive rate on false positive rate, and thereby demonstrates quality of prediction method: AUC is equal to 1 in case of ideally accurate prediction and AUC is equal to 0.5 in case of the worst prediction.

This paper presents a systematic effort to prepare base data for benchmark tests to evaluate the quality of fatigue prediction methods and solvers.

This type of analysis could also contribute to the quality of computational prediction methods, for example, by revealing areas of biology in which the prediction methods are less accurate and need to be adjusted.