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In this paper, the performance of wavelet decomposition-based de-noising and wavelet filter-based de-noising methods are compared based on signals from mechanical defects.
The considered positioning systems, which are compared based on the developed framework, are the hyperbolic (time-delay-based), direction finding (DF), received signal strength (RSS), and relative RSS (RRSS) location systems.
Finally, these algorithms are compared based on the above results.
At the end methods are compared based on developed criteria.
The existing approaches of all the above sub-categories are compared based on performance metrics.
The ACC and CACC systems are compared based on their string stability performance.
After that, (C) and (H) are compared based on the fitness function.
The models are compared based on their ability to train with lowest error values.
Then, they are compared based on some comparison metrics and statistical approaches.
The different operating strategies are compared based on a detailed financial analysis.
Finally, all three categories are compared based on a number of criteria.
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