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The only way for efficient use of limited resources is exchanging them each other in mobile environment. In this paper, an application for hybrid learning of wave pattern detection is presented. The detection accuracy and speed will be improved by exchanging learning results mutually among integrated detection methods. By this model, flexible and elastic usability can be implemented on mobile devices in mobile computing environment. And hybrid learning of wave pattern detection enables us to elastic and intelligent learning among devices.
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