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The proposed method uses data to design a structure of the fuzzy subsystems.
Our method uses data streams, i.e. the model is updated as soon as the user introduces a new rating, providing, thus, online recommendations.
The rCMT method uses data with a similar period range as the W-phase moment tensor (Hayes et al., 2009), also in use at the NEIC, but its input signal is dominated by the surface waves, which arrive later and are of higher amplitude.
The method uses data from two independent samples drawn from the same population.
The Strength scoring method uses data for all measured downstream gene expressions in the HYP, regardless of data quality.
This method uses data available at hospital level and disaggregates by direct cost centre and indirect cost centre.
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We validate the method using data from Intercosmos Bulgaria - 1300 satellite.
We illustrate this method using data from a study conducted at Eli Lilly and Company.
We proposed an enhanced just-in-time (JIT) soft sensor calibration method using data density estimation.
The 283-nm channel is also measured by the same method using data from the International Ultraviolet Explorer (IUE).
We test the method using data generated in silico from the Michaelis Menten and the Hartley Kilby reaction mechanisms.
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