# Enhancing Aedes aegypti breeding site detection: A deep learning approach to tire identification in unmanned aerial vehicle imagery from urban Indonesia
> Hassan M.M.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_105035318052
Jurnal / Konferensi: Remote Sensing Applications Society and Environment
Tahun terbit: 2026
DOI: https://doi.org/10.1016/j.rsase.2026.102011
ISSN: 23529385
Kuartil SJR: Q1
Citations: 0

## Authors
- Hassan M.M.

## Abstract
Sourced directly from Elsevier Scopus. No OpenAlex abstract available.

## Keywords
- Aedes aegypti
- Deep learning
- Convolutional neural network
- Artificial intelligence
- Aedes
- Identification (biology)
- Drone
- Dengue fever
- Support vector machine
- Artificial neural network
- Multispectral image
- Mosquito control
- Machine learning
- Dengue hemorrhagic fever
- Citizen science
- Aerial survey
- Cartography
- Computer science
- False positive paradox
- Geography
- Remote sensing
- Habitat
- Vector (molecular biology)
- Object detection
- Ecology
- Engineering

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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