Sentence examples for prediction model based on the from inspiring English sources
In this study, we investigated the effects of the characteristics of the road project and the character of the existing landscape on the perceived visual impact of motorways, and developed a GIS-based prediction model based on the findings.
For each of the 400 feature sets, a prediction model based on the proposed predictive algorithm was constructed and examined with the jackknife cross-validation on the benchmark dataset.
The association between the four Dutch markers that were previously identified [ 8], and the predictive markers that were selected for the new prediction model based on the French strain collection was investigated by calculating the correlation between the hybridization ratios of the 4 Dutch and the 4 French predictive markers, using Spearman correlation coefficients.
A trust prediction model based on the node's historical behavior called trust-based source routing (TSR) protocol was presented in [28].
Furthermore, we established a multi-index prediction model based on the six kinds of biomarkers for predicting risk of gastric cancer.
In a previous study [ 8] we used the gene expression profiles of 47 tumors and artificial neural networks to generate a prediction model based on the 100 highest ranked discriminator genes that could accurately predict the ER-α status of 11 breast tumors from an independent test set.
Regression coefficient-based and point-based prediction models based on the clinical and biochemical models were developed.
In this study we sought to increase the accuracy and usability of the current B/T criteria by redefining prediction models based on the predictive properties of a single MRI examination at onset of CIS.
In this paper, prediction models based on the micro-scale abrasion tests, will be presented and discussed.
These difficulties could be handled more appropriately by the prediction models based on the LWIR soil spectra.
In this paper, we focus on a special problem in transportation studies that concerns the so called "Big Data" challenge, which is: how to build concise yet accurate traffic flow prediction models based on the massive data collected by different sensors?
