AIMC Topic: Culex
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Application of wings interferential patterns (WIPs) and deep learning (DL) to classify some Culex. spp (Culicidae) of medical or veterinary importance.
Scientific reports
Jul 1, 2025
In this paper, we test the possibility of using Wing Interference Patterns (WIPs) and deep learning (DL) for the identification of Culex mosquitoes species to evaluate the extent to which a generic method could be developed for surveying Dipteran ins...
Automated age grading of female Culex pipiens by an optical sensor system coupled to a mosquito trap.
Parasites & vectors
Dec 18, 2024
BACKGROUND: The age distribution of a mosquito population is a major determinant of its vectorial capacity. To contribute to disease transmission, a competent mosquito vector, carrying a pathogen, must live longer than the extrinsic incubation period...
LarvaeCountAI: a robust convolutional neural network-based tool for accurately counting the larvae of Culex annulirostris mosquitoes.
Acta tropica
Nov 13, 2024
Accurate counting of mosquito larval populations is essential for maintaining optimal conditions and population control within rearing facilities, assessing disease transmission risks, and implementing effective vector control measures. While existin...
Temperature dependence of mosquitoes: Comparing mechanistic and machine learning approaches.
PLoS neglected tropical diseases
Sep 16, 2024
Mosquito vectors of pathogens (e.g., Aedes, Anopheles, and Culex spp. which transmit dengue, Zika, chikungunya, West Nile, malaria, and others) are of increasing concern for global public health. These vectors are geographically shifting under climat...
Application of computer vision and deep learning models to automatically classify medically important mosquitoes in North Borneo, Malaysia.
Bulletin of entomological research
Apr 1, 2024
Mosquito-borne diseases have emerged in North Borneo in Malaysia due to rapid changes in the forest landscape, and mosquito surveillance is key to understanding disease transmission. However, surveillance programmes involving sampling and taxonomic i...
AI-Enabled Mosquito Surveillance and Population Mapping Using Dragonfly Robot.
Sensors (Basel, Switzerland)
Jun 29, 2022
Mosquito-borne diseases can pose serious risks to human health. Therefore, mosquito surveillance and control programs are essential for the wellbeing of the community. Further, human-assisted mosquito surveillance and population mapping methods are t...
Classification and Morphological Analysis of Vector Mosquitoes using Deep Convolutional Neural Networks.
Scientific reports
Jan 23, 2020
Image-based automatic classification of vector mosquitoes has been investigated for decades for its practical applications such as early detection of potential mosquitoes-borne diseases. However, the classification accuracy of previous approaches has...
Application of convolutional neural networks for classification of adult mosquitoes in the field.
PloS one
Jan 14, 2019
Dengue, chikungunya and Zika are arboviruses transmitted by mosquitos of the genus Aedes and have caused several outbreaks in world over the past ten years. Morphological identification of mosquitos is currently restricted due to the small number of ...
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