Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Andrew D. Hellicar"'
Autor:
Dan C. Popescu, Andrew D. Hellicar
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
Externí odkaz:
https://doaj.org/article/1bf315025e7c47f09b1cd42ec5dfaeb1
Publikováno v:
Advances in Broadband Communication and Networks ISBN: 9781003337089
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ecfb9ee3ce9b1f8b595424c5889a92d
https://doi.org/10.1201/9781003337089-3
https://doi.org/10.1201/9781003337089-3
Autor:
Sarah J. Andrewartha, Rafael León, Andrea J. Morash, Timothy Clark, Andrew D. Hellicar, Nicholas G. Elliott, Katharina Alter
Publikováno v:
Aquaculture. 478:25-34
Many hybrids of marine molluscs show improved growth in comparison to their pure parental species. Yet, little is known about the physiological mechanisms underlying the better hybrid performance. In this study, movement, oxygen consumption rate (Ṁ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::973502bf4f93d0b71bd8858b6b7eb28d
https://doi.org/10.1016/j.aquaculture.2017.04.035
https://doi.org/10.1016/j.aquaculture.2017.04.035
Autor:
Greg Timms, Md. Sumon Shahriar, Andrew Davie, Greg Smith, Ashfaqur Rahman, Charlotte Sennersten, David Biggins, Andrew D. Hellicar, Craig Lindley, Mac Coombe
Publikováno v:
IEEE Sensors Journal. 16:4555-4565
For remote characterization of inaccessible underground mine voids, we are developing unmanned aerial vehicles (equipped with multiple sensors, including cameras) to fly into the mine voids to map their shape, condition, and most importantly, mineral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a5778b3906e4da664de5384cae12eca
https://doi.org/10.1109/jsen.2016.2546241
https://doi.org/10.1109/jsen.2016.2546241
Publikováno v:
Computers and Electronics in Agriculture. 175:105545
The research presented in this paper was conducted as part of a project that aimed at using biosensors on sentinel oysters to provide a biological perspective of environmental changes. The physiological response patterns (e.g. heart rate variability,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f6c4498c62671412a15b3e8080e7160
https://doi.org/10.1016/j.compag.2020.105545
https://doi.org/10.1016/j.compag.2020.105545
Autor:
Andrew D. Hellicar, Andrea J. Morash, Ashfaqur Rahman, Greg Smith, Sarah J. Andrewartha, Daniel Smith, John McCulloch
Publikováno v:
IEEE Sensors Journal. 15:4480-4487
An in situ optical oyster heart rate sensor generates signals requiring frequency estimation with properties different to human ECG and speech signals. We discuss the method of signal generation and highlight a number of these signal properties. An o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b57e1cb2decce5856ba97412469f72bf
https://doi.org/10.1109/jsen.2015.2422375
https://doi.org/10.1109/jsen.2015.2422375
Autor:
Greg Timms, David A. Henry, Daniel Smith, James Hills, Andrew D. Hellicar, Richard Rawnsley, Ritaban Dutta, Greg Bishop-Hurley
Publikováno v:
Expert Systems with Applications. 42:3774-3784
A new multi-scale time series classifier is proposed using class posterior estimates.The classifier infers a large set of animal behaviour using motion based time series.The proposed classifier outperforms benchmark classifiers by between 43% and 77%
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9ea0c993f485e77d467462dbfa7ad9f
https://doi.org/10.1016/j.eswa.2014.11.033
https://doi.org/10.1016/j.eswa.2014.11.033
Autor:
Andrew D. Hellicar, Nasiha Nikolic
Publikováno v:
IEEE Antennas and Propagation Magazine. 56:116-130
The properties of a unit-fraction section of a spherical Luneburg lens, with two backing ground planes intersecting at the spherical lens's axis, have been evaluated and compared to experimental results. Compared to a full Luneburg lens, the advantag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::165aad82b238181f0ddb10583f9f21d0
https://doi.org/10.1109/map.2014.6971923
https://doi.org/10.1109/map.2014.6971923
Publikováno v:
Proceedings of the Workshop on Time Series Analytics and Applications.
An experiment is introduced which demonstrates the application of supervised feature learning using a Convolutional Neural Network for cattle behaviour classification. The data set used contains observations from sensors attached to the cattle. Previ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfd48d0ce9a8928dd1fa45b8cb1064f0
https://doi.org/10.1145/3014340.3014342
https://doi.org/10.1145/3014340.3014342
Autor:
Zakaria Mhammedi, Kasirat Turfi Kasfi, Andrew D. Hellicar, Ashfaqur Rahman, Philip J. Smethurst
Publikováno v:
Proceedings of the Workshop on Time Series Analytics and Applications.
Accurate models for one day ahead prediction of stream flow are crucial for water management catchment scale for agriculture. This is particularly important for a country such as Australia where weather conditions can be harsh and varying. The Suppor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83d8e5a344c1a212252750fec546ee66
https://doi.org/10.1145/3014340.3014345
https://doi.org/10.1145/3014340.3014345