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

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

Reference23 articles.

1. Detection-threshold approximation for non-Gaussian backgrounds;Abraham;J. Ocean. Eng,2010

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

Cited by 21 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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3