Machine learning for acoustic mosquito detection
<p>Mosquitoes are responsible for over one billion cases of disease and over one million deaths each year. The data produced during mosquito surveillance are needed to identify emerging insecticide resistance, facilitate effective and evidence-led insecticide intervention programmes as well as...
Main Author: | Kiskin, I |
---|---|
Other Authors: | Roberts, S |
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: |
Similar Items
-
Event Detection for Distributed Acoustic Sensing: Combining Knowledge-Based, Classical Machine Learning, and Deep Learning Approaches
by: Mugdim Bublin
Published: (2021-11-01) -
Deep Machine Learning for Path Length Characterization Using Acoustic Diffraction
by: Brittney Erin Jarreau, et al.
Published: (2023-02-01) -
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection
by: Saad Abbasi, et al.
Published: (2021-07-01) -
Using Machine Learning to Predict Indoor Acoustic Indicators of Multi-Functional Activity Centers
by: Chiu-Yu Yeh, et al.
Published: (2021-06-01) -
Application of Machine Learning to Predict the Acoustic Cavitation Threshold of Fluids
by: Bulat Yakupov, et al.
Published: (2023-05-01)