Zobrazeno 1 - 10
of 28
pro vyhledávání: '"David Chesmore"'
Autor:
Edward Baker, David Chesmore
Publikováno v:
Biodiversity Data Journal, Vol 8, Iss , Pp 1-32 (2020)
After reviewing the published literature on sound production in insects, a standardised terminology and controlled vocabularies have been created. This combined terminology has potential for use in automated identification systems, evolutionary studi
Externí odkaz:
https://doaj.org/article/654007f1bdcd4c42bab5a8384450f286
Publikováno v:
Insects, Vol 12, Iss 6, p 548 (2021)
Gastropod damage to crop plants has a significant economic impact on agricultural and horticultural industries worldwide, with the Grey Field Slug (Deroceras reticulatum (Müller)) considered the main mollusc pest in the United Kingdom and in many ot
Externí odkaz:
https://doaj.org/article/6bdfc8f5598f440da3cc3a8a13abf21e
Autor:
David Chesmore
Publikováno v:
Anais da Academia Brasileira de Ciências, Vol 76, Iss 2, Pp 436-440 (2004)
Research into the automated identification of animals by bioacoustics is becoming more widespread mainly due to difficulties in carrying out manual surveys. This paper describes automated recognition of insects (Orthoptera) using time domain signal c
Externí odkaz:
https://doaj.org/article/a59c36aab2fe4d8eb68838e338a48763
Autor:
Ipek Caliskanelli, James Harbin, Leandro Soares Indrusiak, Paul Mitchell, Fiona Polack, David Chesmore
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 9 (2013)
Wireless sensor networks (WSNs) consist of multiple, distributed nodes each with limited resources. With their strict resource constraints and application-specific characteristics, WSNs contain many challenging tradeoffs. This paper proposes a bioins
Externí odkaz:
https://doaj.org/article/c2e07bc4e3b24fe4946ba070b1c98aa6
Autor:
David Chesmore, Edward Baker
Publikováno v:
Biodiversity Data Journal, Vol 8, Iss, Pp 1-32 (2020)
Biodiversity Data Journal
Biodiversity Data Journal 8: e54222
Biodiversity Data Journal
Biodiversity Data Journal 8: e54222
After reviewing the published literature on sound production in insects, a standardised terminology and controlled vocabularies have been created. This combined terminology has potential for use in automated identification systems, evolutionary studi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e242d6e5666cfb97150b994fea3ad23
https://bdj.pensoft.net/article/54222/
https://bdj.pensoft.net/article/54222/
Autor:
Carolyn-Monika Goerres, David Chesmore
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Root-feeding Scarabaeidae larvae can pose a serious threat to agricultural and forest ecosystems, but many details of larval ecology are still unknown. We developed an acoustic data analysis method based on active sound production by larvae (i.e. str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8278f1ac4bf8a64a39c4b6b2e51e5777
https://doi.org/10.1038/s41598-019-46121-y
https://doi.org/10.1038/s41598-019-46121-y
Autor:
Carolyn-Monika Goerres, David Chesmore
Root-feeding Scarabaeidae larvae can pose a serious threat to agricultural and forest ecosystems, but many details of larval ecology are still unknown. We developed an acoustic data analysis method for gaining new insights into larval ecology. In a l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::272963ce1c4a81839b6ad03892fb1432
https://doi.org/10.1101/520734
https://doi.org/10.1101/520734
Publikováno v:
Towards Autonomous Robotic Systems ISBN: 9783030253318
TAROS (2)
TAROS (2)
Swarm robotics is an emerging technology that has the potential to revolutionise precision agriculture by coordinating fleets of small autonomous vehicles to minimise soil damage, increase farming resolution, lower the cost of automation, and provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b99a65fd844609a308c73245b0ce1272
https://doi.org/10.1007/978-3-030-25332-5_40
https://doi.org/10.1007/978-3-030-25332-5_40
Publikováno v:
DSAA
Deep neural network architectures designed for application domains other than sound, especially image recognition, may not optimally harness the time-frequency representation when adapted to the sound recognition problem. In this work, we explore the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47c77626cc4cb21ef87d71a492e6789f
http://arxiv.org/abs/1802.05792
http://arxiv.org/abs/1802.05792
Publikováno v:
ICMLA
Automatic feature extraction using neural networks has accomplished remarkable success for images, but for sound recognition, these models are usually modified to fit the nature of the multi-dimensional temporal representation of the audio signal in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::775b72a79ca6f0c4d80266484444afcf
https://doi.org/10.1109/icmla.2017.0-158
https://doi.org/10.1109/icmla.2017.0-158