Accurate and Efficient Mosquito Genus Classification Algorithm Using Candidate-Elimination and Nearest Centroid on Extracted Features of Wingbeat Acoustic Properties

Accurate and Efficient Mosquito Genus Classification Algorithm Using Candidate-Elimination and Nearest Centroid on Extracted Features of Wingbeat Acoustic Properties

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...

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Bibliographic Details
Main Authors: Alar, Hernan S., Fernandez, Proceso L, Jr
Format: text
Published: Archīum Ateneo 2021
Subjects:
mosquito
genus
classification
candidate-elimination
nearest centroid
Biodiversity
Computer Sciences
Diseases
Genetics and Genomics
Online Access:https://archium.ateneo.edu/discs-faculty-pubs/230
https://www.sciencedirect.com/science/article/abs/pii/S0010482521007678#!
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Institution: Ateneo De Manila University

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https://archium.ateneo.edu/discs-faculty-pubs/230
https://www.sciencedirect.com/science/article/abs/pii/S0010482521007678#!

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