Accurate and efficient mosquito genus classification algorithm using candidate-elimination and nearest centroid on extracted features of wingbeat acoustic properties
Abstract
The automatic identification of mosquito genus, if used together with effective strategies of suppression and control may help reduce the spread of mosquito-borne diseases. In this study, we explored and developed a simple and yet very effective algorithm for processing audio files to determine the presence (or absence) of a mosquito and then identify the correct genus for those involving a mosquito. A dataset of sound recordings from the Humbug...
Paper Details
Title
Accurate and efficient mosquito genus classification algorithm using candidate-elimination and nearest centroid on extracted features of wingbeat acoustic properties
Published Date
Dec 1, 2021
Volume
139
Pages
104973 - 104973
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