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In order to detect, identify, and manage P2P traffic, some port, payload and transport layer feature based methods were proposed.
With the availability of a large number of completely sequenced genomes whole-genome based methods were proposed to alleviate the shortcomings of gene based methods which have attracted much attention in recent years.
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To solve this issue, several dynamic threshold based methods are proposed such as noise tolerant ternary pattern (NTTP) and local adaptive image descriptor (LAID).
Several generalized likelihood ratio test- (GLRT-) based methods are proposed, which utilize secondary (training) data, that is, data vectors sharing the same spectral properties, to form an estimate of the disturbance covariance.
A structural analysis and a model - based method are proposed.
In this paper, a loop flow based method is proposed.
An AI based method is proposed in [68] to locate the source of forced oscillation.
In [25], the game-theoretic based method was proposed for cooperative spectrum sensing.
A "master-slave-splitting" (MSS) based method was proposed in [5, 6].
A novel resolution invariant local feature based method is proposed for 3D face recognition.
Loop theory based method is proposed to solve the problem of rigid sub-chain detection.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com