Detection of rain in acoustic recordings of the environment using machine learning techniques

Ferroudj, Meriem (2015) Detection of rain in acoustic recordings of the environment using machine learning techniques. Masters by Research thesis, Queensland University of Technology.


This thesis is concerned with the detection and prediction of rain in environmental recordings using different machine learning algorithms. The results obtained in this research will help ecologists to efficiently analyse environmental data and monitor biodiversity.

Impact and interest:

1 citations in Web of Science®
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Full-text downloads:

175 since deposited on 13 May 2015
101 in the past twelve months

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ID Code: 82848
Item Type: QUT Thesis (Masters by Research)
Supervisor: Zhang, Jinglan, Roe, Paul, Banks, Jasmine, & Towsey, Michael
Keywords: Environmental sound classification, Feature extraction, Acoustic event classification, Audio classification, Machine learning, Data mining, Prediction techniques
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 13 May 2015 05:50
Last Modified: 21 Jun 2017 14:50

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