Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Liam Daniel"'
Publikováno v:
BMC Ophthalmology, Vol 20, Iss 1, Pp 1-4 (2020)
Abstract In this case presentation, we present a young vegan patient who developed a CRVO secondary to severe iron-deficiency anaemia (IDA) attributable to menstrual losses and limited iron intake. CRVO is a rare complication of IDA. With rising call
Externí odkaz:
https://doaj.org/article/de0b997d778c4a8e8adfb11f30c428d2
Autor:
Aleksandr Bystrov, Liam Daniel, Edward Hoare, Fatemeh Norouzian, Mikhail Cherniakov, Marina Gashinova
Publikováno v:
Sensors, Vol 21, Iss 2, p 439 (2021)
This paper presents an experimental study of the propagation of mm-wave/low-THz signals in the frequency ranges of 79 and 300 GHz through fire. Radar performance was investigated in various real scenarios, including fire with strong flame, dense smok
Externí odkaz:
https://doaj.org/article/fd67cb2be84142d39ceb18179e451add
Autor:
Dominic Phippen, Liam Daniel, Edward Hoare, Shahzad Gishkori, Bernard Mulgrew, Mikhail Cherniakov, Marina Gashinova
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 58:2339-2351
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7965973112cb7e14e38434d0fcef3db1
https://doi.org/10.1109/taes.2021.3133339
https://doi.org/10.1109/taes.2021.3133339
Autor:
Shahzad Gishkori, David Wright, Liam Daniel, Aasim Shaikh, Tareq Al-Naffouri, Marina Gashinova, Bernard Mulgrew
Publikováno v:
Gishkori, S, Wright, D, Daniel, L, Shaikh, A, Al-Naffouri, T, Gashinova, M & Mulgrew, B 2021, ' Adaptive Subaperture Integration for Wide-Angle Synthetic Aperture Radar ', IEEE Transactions on Terahertz Science and Technology, vol. 12, no. 2, pp. 118-129 . https://doi.org/10.1109/TTHZ.2021.3132150
In this article, we present an adaptive subaperture integration method for wide-angle synthetic aperture radar (SAR) for improved imaging, with emphasis on short-to-medium range applications. In order to avoid full-aperture integration, traditional a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0436547a8f85ba0d33bd8262dbbc8b68
https://doi.org/10.1109/tthz.2021.3132150
https://doi.org/10.1109/tthz.2021.3132150
Autor:
Giulia Lai, Brekhna Hassan, Timothy R. Walsh, Julian Parkhill, Liam Daniel Clayfield, Maisra Mohammed El-Bouseary, Asadullah Khan, Georgios Ion Serfas, Afifah Khan, Muhammad Ijaz, Kirsty Sands, William John Watkins, Edward Portal
Publikováno v:
Nature Microbiology. 6:1259-1270
Understanding how multidrug-resistant Enterobacterales (MDRE) are transmitted in low- and middle-income countries (LMICs) is critical for implementing robust policies to curb the increasing burden of antimicrobial resistance (AMR). Here, we analysed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b418a71c2fdfa4ecc1e7e03d23f7a2e5
https://doi.org/10.1038/s41564-021-00965-1
https://doi.org/10.1038/s41564-021-00965-1
Publikováno v:
IEEE Sensors Journal. 21:6698-6711
Image segmentation and classification of surfaces and obstacles in automotive radar imagery are the key technologies to provide valuable information for path planning in autonomous driving. As opposed to traditional radar processing, where clutter is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::163609d1bd52dabd5edfd60254731d4a
https://doi.org/10.1109/jsen.2020.3043586
https://doi.org/10.1109/jsen.2020.3043586
Publikováno v:
Gishkori, S, Wright, D, Daniel, L, Gashinova, M & Mulgrew, B 2019, ' Imaging Moving Targets for a Forward Scanning Automotive SAR ', IEEE Transactions on Aerospace and Electronic Systems, pp. 1-1 . https://doi.org/10.1109/TAES.2019.2925446
In this paper, we extend the forward-scanning synthetic aperture radar (SAR) methodology to reconstruct images of the moving targets, for a forward-looking automotive radar. We adapt a matrix decomposition approach to forward-scanning SAR in order to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7921fc46ae467090cf90aa3a6e3b43d3
https://doi.org/10.1109/taes.2019.2925446
https://doi.org/10.1109/taes.2019.2925446
Publikováno v:
2021 18th European Radar Conference (EuRAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::790cdff4903bff11cddf0e9d49d4b7a2
https://doi.org/10.23919/eurad50154.2022.9784524
https://doi.org/10.23919/eurad50154.2022.9784524
Autor:
Abdelfattah, Ali Mahmoud, Hughes-Davies, Antonia, Clayfield, Liam Daniel, Menendez-Gonzalez, Juan Bautista, Almotiri, Alhomidi, Alotaibi, Badi, Tonks, Alex, Rodrigues, Neil P
During aging, hematopoietic stem cell (HSC) function wanes with important biological and clinical implications for benign and malignant hematology, and other co-morbidities, such as cardiovascular disease. However, the molecular mechanisms regulating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::06b46831e29ef91f4523a7c229e5abf1
https://orca.cardiff.ac.uk/id/eprint/144134/2/1-s2.0-S2473952921005188-main.pdf
https://orca.cardiff.ac.uk/id/eprint/144134/2/1-s2.0-S2473952921005188-main.pdf
Publikováno v:
Gishkori, S, Wright, D, Daniel, L, Gashinova, M & Mulgrew, B 2021, ' Improved SAR Imaging Via Cross-Learning from Camera Images ', IEEE Transactions on Aerospace and Electronic Systems, vol. 57, no. 4, pp. 2587-2596 . https://doi.org/10.1109/TAES.2021.3054686
In this paper, we propose a novel concept of crosslearning in order to improve synthetic aperture radar (SAR) images by learning from the camera images, in the manifold domain. We present multi-level abstraction approaches to materialise knowledge tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b96b02673bb34f8b8c7a6f8c3e60c861
https://hdl.handle.net/20.500.11820/868fbd41-d2cd-4276-a8be-c7333a8b1780
https://hdl.handle.net/20.500.11820/868fbd41-d2cd-4276-a8be-c7333a8b1780