Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Geoffrey French"'
Autor:
Mark Fisher, Geoffrey French, Artjoms Gorpincenko, Helen Holah, Lauren Clayton, Rebecca Skirrow, Michal Mackiewicz
Publikováno v:
IET Image Processing, Vol 17, Iss 2, Pp 349-361 (2023)
Abstract A system that reconstructs 3D models from a single camera monitoring fish transported on a conveyor system is investigated. Models are subsequently used for training a species classifier and for improving estimates of discarded biomass. It i
Externí odkaz:
https://doaj.org/article/51562fc81e89473db28387d936cf08ba
Autor:
Brandon Hobley, Riccardo Arosio, Geoffrey French, Julie Bremner, Tony Dolphin, Michal Mackiewicz
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1741 (2021)
Intertidal seagrass plays a vital role in estimating the overall health and dynamics of coastal environments due to its interaction with tidal changes. However, most seagrass habitats around the globe have been in steady decline due to human impacts,
Externí odkaz:
https://doaj.org/article/6d029312632b4e2ea95e6dc8bd5b76a9
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 2026 (2020)
Many wildlife species inhabit inaccessible environments, limiting researchers ability to conduct essential population surveys. Recently, very high resolution (sub-metre) satellite imagery has enabled remote monitoring of certain species directly from
Externí odkaz:
https://doaj.org/article/d2326768aeea48f385b21818fea46d82
Autor:
Geoffrey, French, Mary, Hulse, Debbie, Nguyen, Katharine, Sobotka, Kaitlyn, Webster, Josh, Corman, Brago, Aboagye-Nyame, Marc, Dion, Moira, Johnson, Benjamin, Zalinger, Maria, Ewing
Publikováno v:
American Journal of Transplantation. 22:654-657
Autor:
Moira Johnson, Marc Dion, Kaitlyn Webster, Maria Ewing, Josh Corman, Geoffrey French, Mary Hulse, Katharine Sobotka, Brago Aboagye-Nyame, Benjamin Zalinger, Debbie Nguyen
Publikováno v:
Morbidity and Mortality Weekly Report
Surges in COVID-19 cases have stressed hospital systems, negatively affected health care and public health infrastructures, and degraded national critical functions (1,2). Resource limitations, such as available hospital space, staffing, and supplies
Publikováno v:
IEEE Sensors Journal. 21:4981-4988
Human enterprise often suffers from direct negative effects caused by jellyfish blooms. The investigation of a prior jellyfish monitoring system showed that it was unable to reliably perform in a cross validation setting, i.e. in new underwater envir
Publikováno v:
ICES Journal of Marine Science. 77:3074-3082
Management of the marine environment is increasingly being conducted in accordance with an ecosystem-based approach, which requires an integrated approach to monitoring. Simultaneous acquisition of the different data types needed is often difficult,
Autor:
Michal Mackiewicz, Geoffrey French, Julie Bremner, Riccardo Arosio, Brandon Lewis Hobley, Tony Dolphin
Publikováno v:
Remote Sensing
Volume 13
Issue 9
Pages: 1741
Remote Sensing, Vol 13, Iss 1741, p 1741 (2021)
Volume 13
Issue 9
Pages: 1741
Remote Sensing, Vol 13, Iss 1741, p 1741 (2021)
Intertidal seagrass plays a vital role in estimating the overall health and dynamics of coastal environments due to its interaction with tidal changes. However, most seagrass habitats around the globe have been in steady decline due to human impacts,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12e49f8ff6e304cd65215c9668ab5a0b
https://ueaeprints.uea.ac.uk/id/eprint/80073/
https://ueaeprints.uea.ac.uk/id/eprint/80073/
Publikováno v:
Image Processing: Algorithms and Systems
Virtual Adversarial Training has recently seen a lot of success in semi-supervised learning, as well as unsupervised Domain Adaptation. However, so far it has been used on input samples in the pixel space, whereas we propose to apply it directly to f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef50bde2c82a534a3f7961af00e0c15d
http://arxiv.org/abs/2008.08369
http://arxiv.org/abs/2008.08369
Publikováno v:
Color and Imaging Conference. 2018:176-181
The use of multi-spectral imaging has been found to improve the accuracy of deep neural network-based pedestrian detection systems, particularly in challenging night time conditions in which pedestrians are more clearly visible in thermal long-wave i