Application of computer vision and deep learning models to automatically classify medically important mosquitoes in North Borneo, Malaysia

• 主要な著者: Song-Quan Ong, Abdul Hafiz Ab Majid, Wei-Jun Li, Jian-Guo Wang
• フォーマット: 論文
• 言語: English; English
• 出版事項: Cambridge University Press 2024
• 主題: QR355-502 Virology; SB1-1110 Plant culture
• オンライン･アクセス: https://eprints.ums.edu.my/id/eprint/41444/1/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/41444/2/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/41444/; https://doi.org/10.1017/S000748532400018X

Mosquito-borne diseases have emerged in North Borneo in Malaysia due to rapid changes in the forest landscape, and mosquito surveillance is key to understanding disease transmission. However, surveillance programmes involving sampling and taxonomic identification require well-trained personnel, are...