Accurate and Efficient Mosquito Genus Classification Algorithm Using Candidate- Elimination And Nearest Centroid on Extracted Features of Wingbeat Acoustic Properties
Date of Award
1-12-2021
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Computer Science
First Advisor
Proceso L. Fernandez, Jr., PhD
Recommended Citation
Hernan, Alar S., (2021). Accurate and Efficient Mosquito Genus Classification Algorithm Using Candidate- Elimination And Nearest Centroid on Extracted Features of Wingbeat Acoustic Properties. Archīum.ATENEO.
https://archium.ateneo.edu/theses-dissertations/745
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