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In [30], a sonar- based method is well applied, even though it only takes static obstacles into consideration.
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MEME-based method is well known to be an excellent tool for cases only regarding sequence specificity [ 11].
A wavelet analysis based method is proposed to identify reflection artifacts as well.
This method is well worth the time.
However, neither of these methods were well suited for large-scale population based studies.
But the methods are well known.
Differently from MI, TE is not symmetric with respect to the exchange of the variables X and Y. Additionally, with respect to cross-correlation based methods, TE is sensitive to linear as well as non nonlinear causal interactions [38].
The method itself is well established.
Hash based methods when well tuned can be faster than suffix array based methods, because the basic operations are simpler, but they typically require greater memory, particularly in cases where the suffix representation can be compressed as it can be here.
NCA based methods work well if data are dense and with enough resolution to estimate the above parameters reliably.
On the contrary, population based methods like evolutionary algorithms are well suited for handling such situations.
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