Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Aquilina, Matthew"'
Autor:
Aquilina, Matthew, Ciantar, Keith George, Galea, Christian, Camilleri, Kenneth P., Farrugia, Reuben A., Abela, John
To date, the best-performing blind super-resolution (SR) techniques follow one of two paradigms: A) generate and train a standard SR network on synthetic low-resolution - high-resolution (LR - HR) pairs or B) attempt to predict the degradations an LR
Externí odkaz:
http://arxiv.org/abs/2211.05018
Convolutional Neural Networks (CNNs) have achieved impressive results across many super-resolution (SR) and image restoration tasks. While many such networks can upscale low-resolution (LR) images using just the raw pixel-level information, the ill-p
Externí odkaz:
http://arxiv.org/abs/2110.14638
Autor:
Aquilina, Matthew1,2 (AUTHOR), Dunn, Katherine E.1 (AUTHOR) k.dunn@ed.ac.uk
Publikováno v:
Analysis & Sensing. Jul2023, Vol. 3 Issue 4, p1-12. 12p.
Autor:
Aquilina, Matthew1,2 (AUTHOR) matthew.aquilina@um.edu.mt, Ciantar, Keith George1,3 (AUTHOR), Galea, Christian1 (AUTHOR), Camilleri, Kenneth P.4 (AUTHOR), Farrugia, Reuben A.1 (AUTHOR), Abela, John5 (AUTHOR)
Publikováno v:
Sensors (14248220). Jan2023, Vol. 23 Issue 1, p419. 39p.
BACKGROUND: The goal of tibial component positioning in total knee arthroplasty is to achieve neutral tibial alignment. Malalignment of the tibial component alters the distribution of tibial loading, resulting in increased wear. The purpose of this s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3549::4cc1b4d2d7b4bbb7882c68a49b50bc58
https://www.um.edu.mt/library/oar/handle/123456789/108149
https://www.um.edu.mt/library/oar/handle/123456789/108149
Akademický článek
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Autor:
Aquilina, Matthew, Dunn, Katherine
Publikováno v:
Aquilina, M & Dunn, K 2022 ' Multiplexed Label-Free Biomarker Detection by Targeted Disassembly of Variable-Length DNA Payload Chains ' . https://doi.org/10.1101/2022.03.25.485867
Simultaneously studying different types of biomarkers (DNA, RNA, proteins, metabolites) has the potential to significantly improve understanding and diagnosis for many complex diseases. However, extracting biomarkers of different types involves using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::e3ba353f867f5ebf69c5767e2fab1efc
https://hdl.handle.net/20.500.11820/e97bba18-4213-4dcc-90e4-51389b368ad7
https://hdl.handle.net/20.500.11820/e97bba18-4213-4dcc-90e4-51389b368ad7
Autor:
Aquilina, Matthew1,2 (AUTHOR), Dunn, Katherine E.1 (AUTHOR) k.dunn@ed.ac.uk
Publikováno v:
Analysis & Sensing. Jul2023, Vol. 3 Issue 4, p1-1. 1p.
Autor:
Aquilina, Matthew
In 2020, the ALICE Inner Tracking System (ITS) will be upgraded with Monolithic Active Pixel Sensor (MAPS) particle detectors. The ALPIDE chip is a custom-made MAPS, made specifically for instrumenting the ALICE detector. This report details the proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________65::5446becab4bc12a39f48807efc589bcb
http://cds.cern.ch/record/2283978
http://cds.cern.ch/record/2283978