Detecting Aedes Aegypti Mosquitoes through Audio Classification with Convolutional Neural Networks
Marcelo Schreiber Fernandes,
Weverton Cordeiro,
Mariana Recamonde-Mendoza
Abstract:The incidence of mosquito-borne diseases is significant in under-developed regions, mostly due to the lack of resources to implement aggressive control measurements against mosquito proliferation. A potential strategy to raise community awareness regarding mosquito proliferation is building a live map of mosquito incidences using smartphone apps and crowdsourcing. In this paper, we explore the possibility of identifying Aedes aegypti mosquitoes using machine learning techniques and audio analysis captured from… Show more
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