Article

Transforming Mosquito Surveillance LarvaFormer as a Hybrid Deep Learning Tool for Rapid and Accurate Larval Recognition

2026-08-07

Abstract excerpt

<title>Abstract</title> <p>Mosquito-borne diseases represent a significant global health threat, causing over 700,000 deaths annually. Traditional control methods targeting adult mosquitoes are often ineffective and environmentally harmful. This paper proposes LarvaFormer, a novel hybrid deep learning framework that integrates convolutional neural networks (CNNs) and Vision Transformers with specialized attention...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a2e5940e-d742-51de-839a-b55f3bd31f92
DOI: 10.21203/rs.3.rs-10435403/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Transforming Mosquito Surveillance LarvaFormer as a Hybrid Deep Learning Tool for Rapid and Accurate Larval RecognitionDOI 10.21203/rs.3.rs-10435403/v1Read

Towards transforming malaria vector surveillance using VectorBrain: a novel convolutional neural network for mosquito species, sex, and abdomen status identificationsSemantic proximity Read

Toward a Methodology for Mosquito Egg Detection and Counting Using Standardized Ovitrap Data in Vector SurveillanceSemantic proximity Read

Application of Wings Interferential Patterns (WIPs) and Deep Learning (DL) to classify some Culex. spp (Culicidae) of medical or veterinary importanceSemantic proximity Read

A Lightweight Deep Learning Framework for Reliable Microscopy-Based Diagnosis of Cutaneous LeishmaniasisSemantic proximity Read

Unveiling the Optimal CNN- A Performance Evaluation of Architectures in Malaria Image ClassificationSemantic proximity Read

FlightTrackAI: a convolutional neural network-based software for tracking the flight behaviour of Aedes aegypti mosquitoesSemantic proximity Read

Automated Eight-Stage Classification of <i>Drosophila melanogaster</i> Using Transfer-Learning CNNs with Mobile Live-Inference DeploymentSemantic proximity Read

Automated identification of Chagas disease vectors using AlexNet pre‐trained convolutional neural networksSemantic proximity Read

YOLito: A generalizable model for automated mosquito detectionSemantic proximity Read

ITFNet-API: Image and Text Based Multi-Scale Cross-Modal Feature Fusion Network for Agricultural Pest IdentificationSemantic proximity Read

Lightweight Deep Learning Models for Efficient Classification of Plant-Parasitic Nematodes on Resource-Constrained DevicesSemantic proximity Read

Delimiting cryptic morphological variation among human malaria vector species using convolutional neural networksSemantic proximity Read