Cargando…
Wing Interferential Patterns (WIPs) and machine learning for the classification of some Aedes species of medical interest
Hematophagous insects belonging to the Aedes genus are proven vectors of viral and filarial pathogens of medical interest. Aedes albopictus is an increasingly important vector because of its rapid worldwide expansion. In the context of global climate change and the emergence of zoonotic infectious d...
Autores principales: | Cannet, Arnaud, Simon-Chane, Camille, Histace, Aymeric, Akhoundi, Mohammad, Romain, Olivier, Souchaud, Marc, Jacob, Pierre, Sereno, Darian, Gouagna, Louis-Clément, Bousses, Philippe, Mathieu-Daude, Françoise, Sereno, Denis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582169/ https://www.ncbi.nlm.nih.gov/pubmed/37848666 http://dx.doi.org/10.1038/s41598-023-44945-3 |
Ejemplares similares
-
Species identification of phlebotomine sandflies using deep learning and wing interferential pattern (WIP)
por: Cannet, Arnaud, et al.
Publicado: (2023) -
Wing Interferential Patterns (WIPs) and machine learning, a step toward automatized tsetse (Glossina spp.) identification
por: Cannet, Arnaud, et al.
Publicado: (2022) -
Deep learning and wing interferential patterns identify Anopheles species and discriminate amongst Gambiae complex species
por: Cannet, Arnaud, et al.
Publicado: (2023) -
Evaluation of Event-Based Corner Detectors
por: Yılmaz, Özgün, et al.
Publicado: (2021) -
A Historical Overview of the Classification, Evolution, and Dispersion of Leishmania Parasites and Sandflies
por: Akhoundi, Mohammad, et al.
Publicado: (2016)