This work proposes an automated detection system that identifies potential mosquito breeding sites using drone images and an ensemble learning system.

Mar 21, 2024 · This work proposes an automated detection system that identifies potential mosquito breeding sites using drone images and an ensemble ...

Automatic detection of Aedes aegypti breeding grounds based on deep networks with spatio-temporal consistency · Weighted Ensemble Algorithm for Aerial Imaging ...

Nov 28, 2023 · These findings indicate that the proposed CNN-based approaches can be used to identify potential mosquito breeding sites from images acquired by ...

Oct 5, 2023 · Thrilled to announce that our research paper, "Weighted Ensemble Algorithm for Aerial Imaging Based Mosquito Breeding Sites Classification" ...

This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and aerial image processing. It covers a range ...

Apr 5, 2022 · This paper compares the classification performance of machine learning classifiers vs. deep learning-based handcrafted models and various ...

Jun 5, 2023 · In this study, a deep learning-based automated image analysis method was developed for the classification of eleven species of mosquito. The ...

Aerial LiDAR images can be used to classify landforms that are relevant to mosquito breeding grounds (herbaceous, pools, etc.) with CART (Hartfield et al., ...

Jul 29, 2019 · In this study, we address this problem by using convolutional neural networks (CNN) to detect breeding site container types in geotagged images ...