Optimization of convolutional neural network hyperparameters for automatic classification of adult mosquitoes

The economic and social impacts due to diseases transmitted by mosquitoes in the latest years have been significant. Currently, no specific treatment or commercial vaccine exists for the control and prevention of arboviruses, thereby making entomological characterization fundamental in combating dis...

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Veröffentlicht in:	PloS one 2020-07, Vol.15 (7), p.e0234959-e0234959
Hauptverfasser:	Motta, Daniel, Santos, Alex Alisson Bandeira, Machado, Bruna Aparecida Souza, Ribeiro-Filho, Otavio Goncalvez Vicente, Camargo, Luis Octavio Arriaga, Valdenegro-Toro, Matias Alejandro, Kirchner, Frank, Badaro, Roberto
Format:	Artikel
Sprache:	eng
Schlagworte:	Aedes Arbovirus diseases Artificial intelligence Artificial neural networks Automatic classification Automation Biology and Life Sciences Classification Computer and Information Sciences Computer applications Control Culicidae Dengue Dengue fever Disease transmission Feature extraction Identification and classification Image acquisition Image classification Infectious diseases Insect carriers of disease Insects Medical personnel Medicine and Health Sciences Methods Model accuracy Model testing Mosquitoes Neural networks Optimization Physical Sciences Species classification Target recognition Vaccines Vector-borne diseases Workers (insect caste) Zika virus
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