Abstract
This study investigates the responses of two major mosquito species, Aedes aegypti and Culex quinquefasciatus, to artificial sounds, including opposite-sex vocalizations and synthetic humming noises, played at short intervals. The analysis explores the potential of using audio signals to influence female mosquito behavior. However, the results reveal that sound-based manipulation is largely ineffective. The HumBugDB dataset, containing many noisy samples, made it challenging to create accurate artificial sounds. Despite the initial hypothesis, female mosquitoes showed limited attraction to the tested audio cues. Consequently, the study recommends shifting focus to alternative methods such as visual cues, light waves, and chemical attractants. While sound-based approaches fall short, an integrated strategy combining multiple sensory signals may provide a breakthrough in mosquito control, offering innovative solutions to manage mosquito populations more effectively.
| Original language | English |
|---|---|
| Title of host publication | 2025 International Conference on Emerging Technologies in Electronics, Computing, and Communication (ICETECC) |
| Publisher | IEEE |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 979-8-3315-4338-9 |
| ISBN (Print) | 979-8-3315-4338-9, 979-8-3315-4338-9, 979-8-3315-4339-6 |
| DOIs | |
| Publication status | Published online - 14 Jul 2025 |
| Event | 2025 International Conference on Emerging Technologies in Electronics, Computing, and Communication (ICETECC) - Jamshoro, Pakistan Duration: 23 Apr 2025 → 25 Apr 2025 |
Publication series
| Name | 2025 International Conference on Emerging Technologies in Electronics, Computing, and Communication (ICETECC) |
|---|---|
| Publisher | IEEE Control Society |
Conference
| Conference | 2025 International Conference on Emerging Technologies in Electronics, Computing, and Communication (ICETECC) |
|---|---|
| Country/Territory | Pakistan |
| City | Jamshoro |
| Period | 23/04/25 → 25/04/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Funding
10.13039/501100001632-Ulster University
Keywords
- Aedes Aegypti
- Anopheles Culex Quinquefasciatus
- Artificial Sounds
- Signal Processing
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