Wet process Asphalt Rubber (AR) with well-proven advantages such as good anti-rutting and cracking resistant performances has obtained great advancement since 1930s.
Nevertheless, it is not consistent with the performance as we have obtained more valid images in E3 than in E2 but the performance in E2 is better.
On the search of new design procedures for high performance catalysts we have obtained a very precisely defined surface architecture starting from a particular host structure.
We describe our DDM algorithm, its implementation, and report on the performance results that we have obtained using the RTI-Kit framework.
First, without the image constraint, we have obtained a performance of 21 frames per second (with 15 steps of convergence).
Second, with the image constraint, we have obtained a performance of 19 frames per second (with 15 steps of convergence).
Recently, many algorithms claim that they have obtained great performance with high accuracy, but they are not enough for real-time application.
We have obtained significant performance improvement over baseline features for both matched and mismatched condition, also for standard and narrow-band noises.
In fact, in all our simulations, we have obtained the best performance using a CWL of one maximum segment size, both for basic AODV and DEMON.
Although machine learning based methods have obtained relatively good performance on the prediction of hot spots.
