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In addition, the identification or classification of underwater acoustic signals is extraordinarily difficult step because these signals are non-stationary and non-intelligible sparse signals with low variable kurtosis.
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Based on a literature review the authors propose a classification of approaches to control underwater vehicles using NNs and the presented articles are categorized according to the identified categories.
Meanwhile, we find that the de-scattering and color correction of underwater images affect classification results.
It is also common to find similar assumptions of stationarity in related works in object detection or classification in underwater fields [16, 17].
(The national average of underwater properties is 28.4 percent).
"There's a fair bit of underwater stuff.
Higgins has lots of underwater training.
Fig. 2 Structure of underwater sonar transmitter.
After they uploaded the images to Google Earth, Greece's Ephorate of Underwater Antiquities launched an underwater investigation.
Experimental results on a variety of underwater scenes are shown.
Figure 1 The structure of underwater sensor network.
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