A deep learning-based pipeline for mosquito detection and classification from wingbeat sounds-Reference-Cited by-同舟云学术

A deep learning-based pipeline for mosquito detection and classification from wingbeat sounds

Published:2022-06-22 Issue:4 Volume:82 Page:5189-5205
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Yin Myat Su,Haddawy Peter^ORCID,Ziemer Tim,Wetjen Fabian,Supratak Akara,Chiamsakul Kanrawee,Siritanakorn Worameth,Chantanalertvilai Tharit,Sriwichai Patchara,Sa-ngamuang Chaitawat

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-13367-0.pdf

Reference35 articles.

1. Adavanne S, Pertilä P, Virtanen T (2017) Sound event detection using spatial features and convolutional recurrent neural network. In: 2017 IEEE international conference on acoustics, speech and signal processing (ICASSP). IEEE, pp 771–775. https://doi.org/10.1109/ICASSP.2017.7952260

2. Alar HS, Fernandez PL (2021) Classifying mosquito presence and genera using median and interquartile values from 26-filter wingbeat acoustic properties. Procedia Computer Science 193:453–463. https://doi.org/10.1016/j.procs.2021.10.047

3. Arthur BJ, Emr KS, Wyttenbach RA, Hoy RR (2014) Mosquito (Aedes aegypti) flight tones: frequency, harmonicity, spherical spreading, and phase relationships. J Acoust Soc Am 135(2):933–941. https://doi.org/10.1121/1.4861233

4. Chen Y, Why A, Batista G, Mafra-Neto A, Keogh E (2014) Flying insect classification with inexpensive sensors. J Insect Behav 27(5):657–677. https://doi.org/10.1007/s10905-014-9454-4

5. Dombois F, Eckel G (2011) Audification. In: Hermann T, Hunt A, Neuhoff JG (eds) The sonification handbook, pp 301–324. COST and Logos, Chap. 12. https://sonification.de/handbook/

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Acoustic identification of Ae. aegypti mosquitoes using smartphone apps and residual convolutional neural networks;Biomedical Signal Processing and Control;2024-09

2. Considerations for first field trials of low-threshold gene drive for malaria vector control;Malaria Journal;2024-05-22

3. Towards acoustic monitoring of bees: wingbeat sounds are related to species and individual traits;Philosophical Transactions of the Royal Society B: Biological Sciences;2024-05-06

4. From buzzes to bytes: A systematic review of automated bioacoustics models used to detect, classify and monitor insects;Journal of Applied Ecology;2024-04-03

5. Aedes aegypti mosquito movements analysis and sex classification using computer vision and deep learning;2024 6th International Conference on Computing and Informatics (ICCI);2024-03-06