Towards transforming malaria vector surveillance using VectorBrain: a novel convolutional neural network for mosquito species, sex, and abdomen status …
Malaria is a major public health concern, causing significant morbidity and mortality globally.
Monitoring the local population density and diversity of the vectors transmitting malaria is …
Monitoring the local population density and diversity of the vectors transmitting malaria is …
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 …
filarial pathogens of medical interest. Aedes albopictus is an increasingly important vector …
AI-driven convolutional neural networks for accurate identification of yellow fever vectors
Background Identifying mosquito vectors is crucial for controlling diseases. Automated
identification studies using the convolutional neural network (CNN) have been conducted for …
identification studies using the convolutional neural network (CNN) have been conducted for …
Robust mosquito species identification from diverse body and wing images using deep learning
Mosquito-borne diseases are a major global health threat. Traditional morphological or
molecular methods for identifying mosquito species often require specialized expertise or …
molecular methods for identifying mosquito species often require specialized expertise or …
[HTML][HTML] A novel approach for identification of zoonotic trypanosome utilizing deep metric learning and vector database-based image retrieval system
Trypanosomiasis, a significant health concern in South America, South Asia, and Southeast
Asia, requires active surveys to effectively control the disease. To address this, we have …
Asia, requires active surveys to effectively control the disease. To address this, we have …
Deep learning in disease vector image identification
S Bai, L Shi, K Yang - Pest Management Science, 2025 - Wiley Online Library
Vector‐borne diseases (VBDs) represent a critical global public health concern, with
approximately 80% of the world's population at risk of one or more VBD. Manual disease …
approximately 80% of the world's population at risk of one or more VBD. Manual disease …
Acetylcholinesterase inhibition mediated the larvicidal activity of Mangifera indica extract against Culex quinquefasciatus
K Vadakkan, SS Aravoor, MR Mundanttu… - Clinical …, 2024 - Springer
The study was formulated to identify the effect of Mangifera indica leaf extract in inhibiting
the growth and metamorphosis of Culex quinquefasciatus larva. Bioassay-guided extraction …
the growth and metamorphosis of Culex quinquefasciatus larva. Bioassay-guided extraction …
Enhancing mosquito classification through self-supervised learning
R Charoenpanyakul, V Kittichai, S Eiamsamang… - Scientific Reports, 2024 - nature.com
Traditional mosquito identification methods, relied on microscopic observation and
morphological characteristics, often require significant expertise and experience, which can …
morphological characteristics, often require significant expertise and experience, which can …
Effect of physiological and environmental factors on mosquito wingbeat frequency
Wingbeat frequency may serve as a distinctive physical signature for identifying mosquito
species. However, variation in wingbeat frequency within species may compromise …
species. However, variation in wingbeat frequency within species may compromise …
MosquitoFusion: A Multiclass Dataset for Real-Time Detection of Mosquitoes, Swarms, and Breeding Sites Using Deep Learning
In this paper, we present an integrated approach to real-time mosquito detection using our
multiclass dataset (MosquitoFusion) containing 1204 diverse images and leverage cutting …
multiclass dataset (MosquitoFusion) containing 1204 diverse images and leverage cutting …