Implementation of a deep learning model for automated classification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) in real time
Abstract Classification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) by humans remains challenging. We proposed a highly accessible method to develop a deep learning (DL) model and implement the model for mosquito image classification by using hardware that could regulate the development...
Main Authors: | Song-Quan Ong, Hamdan Ahmad, Gomesh Nair, Pradeep Isawasan, Abdul Hafiz Ab Majid |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-05-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-89365-3 |
Similar Items
-
Implementation of a deep learning model for automated classification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) in real time
by: Ahmad, H., et al.
Published: (2021) -
Role of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) in local dengue epidemics in Taiwan
by: Pui-Jen Tsai, et al.
Published: (2016-11-01) -
New traps for the capture of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) (Diptera: Culicidae) eggs and adults.
by: Karina Rossi da Silva, et al.
Published: (2021-04-01) -
Dispersion of Aedes aegypti (Linnaeus, 1762) and Aedes albopictus (Skuse, 1894) in the rural zone of north Paraná State
by: José Lopes, et al.
Published: (2004-09-01) -
The effects of temperature and humidity on the eggs of Aedes aegypti (L.) and Aedes albopictus (Skuse) in Texas
by: Dickerson, Catherine Zindler
Published: (2010)