Sentence examples for predicting the trend from inspiring English sources
Modeling the propagation of hot online topic is a preliminary requirement of predicting the trend of hot online topic.
The results of the content-based model indicate that the content of active users is more credible in predicting the trend of interest.
There are numerous examples in which space time structure of variability provides valuable information in understanding and interpreting data and predicting the trend.
Fitted with the experimentally-determined wear rates, a stage-wise GTRF engineering wear model demonstrates good agreement with in-reactor experience in predicting the trend of cladding lives.
We hypothesized that (1) there is no sufficient difference between meteorological records and pastoralists' perceptions in predicting the trend of climate change that trigger camel management as an adaptation strategy and (2) meteorological records are better than pastoralists' perceptions in predicting the trend of climate change that drive camel management as an adaptation strategy.
Although the chemical behaviors are site-specific, this paper discusses the concepts involved in developing a generic approach for predicting the trend of aqueous and surface speciation, and the resulting effects on Fe0 treatment systems.
The method is shown to be capable of predicting the trends in the displacement variance when the input has little energy at low frequencies, in contrast to the equivalent linearization technique which predicts erroneous trends for this type of excitation.
In the case of first-generation twinning, the model is capable of predicting the trends in the development of back-stresses within the twin domain.
The approach for considering three gas streams (hot, cold and mixed syngas) was effective in predicting the trends of heat transfer and gas temperature in the quench system.
The quest for an effective system capable of monitoring and predicting the trends of epidemic diseases is a critical issue for communities worldwide.
Trends observed in the training data generally predict the trend on the remaining test data very well.
