Despite the accurate results obtained in most cases, CFD methods require huge computational resources and large memory.
The first problem is that BN-based methods require huge computational time to estimate large-scale networks.
This method requires rather huge calculation, and it is sensitive to vehicle movement.
As this kind of method requires a huge computational effort, the simulations are carried out on parallel machines.
Firstly, Leydesdorff and Sun (2009), Kwon (2011) and Kwon et al. (2012) included the internationally co-authored papers as the fourth element of the model; this method requires a huge amount of data processing and cleaning of the institutional address information (Leydesdorff and Sun 2009).
Although the time domain method is the best in theory, it requires huge computation [6].
The interference analysis has been extended to the case of frequency selective environments where we have proposed a table-based estimation method as a computationally simpler alternative to the numerical evaluation; as the latter requires huge computational efforts.
However, training age-specific speech models requires huge amount of data from the target age speakers, thus making the method costlier.
