Classification MFCC feature from Culex and Aedes aegypti Mosquitoes Noise using Support Vector Machine
作者： Achmad Lukman , Agus Harjoko , Chuan-Kay Yang
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摘要: Mosquitoes are main vectors for dangerous diseases, such as dengue fever, yellow fever and cikungunya medium from aedes aegypti while filariasis culex [1]. This paper focuses on female mosquitoes of both types because always bite human or animal to collect blood obtain protein egg reproduction [2][3]. The noises were recorded then processed gain features using MFCC classified by support vector machine (SVM). Results show that the classification accuracy is about 75.55 %.
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