AIMC Topic: Culicidae

Clear Filters Showing 11 to 20 of 22 articles

Artificial intelligence (AI): a new window to revamp the vector-borne disease control.

Parasitology research Dec 14, 2022
Artificial intelligence (AI) facilitates scientists to devise intelligent machines that work and behave like humans to resolve difficulties and problems by utilizing minimal resources. The Healthcare sector has benefited due to this. Mosquito-transmi...
Mosquito Vectors Vector Borne Diseases Animals Culicidae Artificial Intelligence Algorithms Humans
View on PubMed DOI

Community-based mosquito surveillance: an automatic mosquito-on-human-skin recognition system with a deep learning algorithm.

Pest management science Jun 17, 2022
BACKGROUND: Public community engagement is crucial for mosquito surveillance programs. To support community participation, one of the approaches is assisting the public in recognizing the mosquitoes that carry pathogens. Therefore, this study aims to...
Humans Image Processing, Computer-Assisted Animals Culicidae Neural Networks, Computer Algorithms Deep Learning
View on PubMed DOI

Mosquito species identification using convolutional neural networks with a multitiered ensemble model for novel species detection.

Scientific reports Jul 1, 2021
With over 3500 mosquito species described, accurate species identification of the few implicated in disease transmission is critical to mosquito borne disease mitigation. Yet this task is hindered by limited global taxonomic expertise and specimen da...
Algorithms Databases, Factual Neural Networks, Computer Culicidae Mosquito Vectors Animals Image Processing, Computer-Assisted
View on PubMed DOI

Deep learning approaches for challenging species and gender identification of mosquito vectors.

Scientific reports Mar 1, 2021
Microscopic observation of mosquito species, which is the basis of morphological identification, is a time-consuming and challenging process, particularly owing to the different skills and experience of public health personnel. We present deep learni...
Mosquito Vectors Female Animals Deep Learning Culicidae Male
View on PubMed DOI

Deep learning identification for citizen science surveillance of tiger mosquitoes.

Scientific reports Feb 25, 2021
Global monitoring of disease vectors is undoubtedly becoming an urgent need as the human population rises and becomes increasingly mobile, international commercial exchanges increase, and climate change expands the habitats of many vector species. Tr...
Animal Distribution Citizen Science Mosquito Control Mosquito Vectors Animals Deep Learning Mobile Applications Smartphone Humans Culicidae
View on PubMed DOI

Delimiting cryptic morphological variation among human malaria vector species using convolutional neural networks.

PLoS neglected tropical diseases Dec 17, 2020
Deep learning is a powerful approach for distinguishing classes of images, and there is a growing interest in applying these methods to delimit species, particularly in the identification of mosquito vectors. Visual identification of mosquito species...
Neural Networks, Computer Mosquito Vectors Humans Animals Image Processing, Computer-Assisted Culicidae
View on PubMed DOI

A framework based on deep neural networks to extract anatomy of mosquitoes from images.

Scientific reports Aug 3, 2020
We design a framework based on Mask Region-based Convolutional Neural Network to automatically detect and separately extract anatomical components of mosquitoes-thorax, wings, abdomen and legs from images. Our training dataset consisted of 1500 smart...
Neural Networks, Computer Reproducibility of Results Image Processing, Computer-Assisted Animals Culicidae Anatomic Landmarks Bees
View on PubMed DOI

Peptide arrays incubated with three collections of human sera from patients infected with mosquito-borne viruses.

F1000Research Nov 7, 2019
Global outbreaks caused by emerging or re-emerging arthropod-borne viruses (arboviruses) are becoming increasingly more common. These pathogens include the mosquito-borne viruses belonging to the and genera. These viruses often cause non-specific ...
Culicidae Zika Virus Infection Peptides Flavivirus Insecta Humans Enzyme-Linked Immunosorbent Assay Blood Chemical Analysis Animals Zika Virus
View on PubMed DOI

Artificial Neural Network applied as a methodology of mosquito species identification.

Acta tropica Sep 21, 2015
There are about 200 species of mosquitoes (Culicidae) known to be vectors of pathogens that cause diseases in humans. Correct identification of mosquito species is an essential step in the development of effective control strategies for these disease...
Female Animals Species Specificity Culicidae Neural Networks, Computer Discriminant Analysis Wings, Animal
View on PubMed DOI

Trends and advances in image-based mosquito identification and classification using machine learning models: A systematic review.

Computers in biology and medicine Jul 1, 2025
Mosquito-borne diseases, such as Yellow fever, Dengue, and Zika, pose a significant global health threat, causing millions of deaths annually. Traditional mosquito identification methods, reliant on expert analysis, are time-consuming and resource-in...
Humans Image Processing, Computer-Assisted Machine Learning Culicidae Animals Mosquito Vectors
View on PubMed DOI
Popular Topics
Recent Journals