… The science and practice of glucometrics and pattern analysis became feasible and meaningful
… The CV has emerged as the preferred metric to express glycemic variability because the …

… in detail, including a review of how such factors as brand preference, brand loyalty, and the
… assessment of goodness of forecast is the metric by which such models should be evaluated…

… To allow for a complete evaluation of sampling and analysis variability, representative for
all seasonal variations in flow and analyte concentrations, the experiments should be applied …

… We propose a joint model of matrix factorization and latent topic analysis. … two metrics,
the mean absolute error (MAE), and the root mean square error (RMSE), to evaluate …

… for rigorous strategic analysis and an underlying precondition for BMI activity. However, to
address the identified gap and to develop an even more specific approach, we review current …

… Building on recent attempts to apply network approaches to problems of rhyme analysis in …
writing system, the analysis of sound glosses in Middle Chinese literature, or the evaluation of …

… on the survey results and theoretical analysis. The evaluation process is represented in …
• Development of evaluation metrics which provide five grades of performance (A, B, C, D, E …

… To understand the magnitude and nature of this evolution, this paper analyzes industrial
trends, namely: 1) Shifting Error Sources, 2) Explosive Complexity, and 3) Global Volume. …

… In this sense, a variety of daylight assessment methods have been introduced that allow the
analysis and evaluation of daylight performance in the interior. To select the wrong amount …

… values due to periodic lack of sampling and analysis or input errors. These missing values
lead to problems in machine learning and statistical analysis of water-quality data from mine …