Towards an Automated Acoustic Detection Algorithm for Wood-Boring Beetle Larvae (Coleoptera: Cerambycidae and Buprestidae)-Reference-Cited by-同舟云学术

Towards an Automated Acoustic Detection Algorithm for Wood-Boring Beetle Larvae (Coleoptera: Cerambycidae and Buprestidae)

Published:2019-02-13 Issue:3 Volume:112 Page:1327-1336
ISSN:0022-0493
Container-title:Journal of Economic Entomology
language:en
Short-container-title:

Author:

Sutin Alexander¹,Yakubovskiy Alexander¹,Salloum Hady R¹,Flynn Timothy J¹,Sedunov Nikolay¹,Nadel Hannah²

Affiliation:

1. Stevens Institute of Technology, Hoboken, NJ

2. USDA APHIS PPQ S&T, Buzzards Bay, MA

Publisher

Oxford University Press (OUP)

Subject

Insect Science,Ecology,General Medicine

Link

http://academic.oup.com/jee/article-pdf/112/3/1327/28690050/toz016.pdf

Reference23 articles.

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2. Detection of wood boring insects’ larvae based on the acoustic signal analysis and the artificial intelligence algorithm;Bilski;Arch. Acoust,2017

3. Creemers J . 2016. Use of acoustic emission (AE) to detect activity of common European dry-woodboring insects: practical considerations. International Symposium on Non-Destructive Testing in Civil Engineering (NDT-CE). 15–17 September 2015, Berlin, Germany.

4. Automated bioacoustic detection and identification of wood-boring insects for quarantine screening and insect ecology;Farr,2007

5. Hilbert Transform Applications in Mechanical Vibration

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