Zobrazeno 1 - 10
of 5 574
pro vyhledávání: '"D. Griffiths"'
Autor:
E. Sapey, L. E. Crowley, R. G. Edgar, D. Griffiths, S. Samanta, H. Crisford, C. E. Bolton, J. R. Hurst, R. A. Stockley
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-11 (2024)
Abstract Background Alpha 1 Antitrypsin Deficiency (AATD) is a rare, inherited lung disease which shares features with Chronic Obstructive Pulmonary Disease (COPD) but has a greater burden of proteinase related tissue damage. These proteinases are as
Externí odkaz:
https://doaj.org/article/5814b8a5090446efb43bb13c7ea46ffc
Autor:
E. ter Avest, M. Tunnicliff, J. Griggs, D. Griffiths, D. Cody, M. Nelson, T. Hurst, R.M. Lyon
Publikováno v:
Resuscitation Plus, Vol 12, Iss , Pp 100339- (2022)
Aim: In this study, we aimed to investigate the efficacy of a helicopter emergency medical service (HEMS) facilitated pathway for in-hospital extracorporeal cardiopulmonary resuscitation (ECPR) for patients with an out of hospital cardiac arrest (OHC
Externí odkaz:
https://doaj.org/article/fdc262f042164d7193be41029df66c21
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 223-229 (2021)
This paper proposes a semantic segmentation pipeline for terrestrial laser scanning data. We achieve this by combining co-registered RGB and 3D point cloud information. Semantic segmentation is performed by applying a pre-trained off-the-shelf 2D con
Externí odkaz:
https://doaj.org/article/26efd3c5be5a4869850be2cc75670db3
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 277-281 (2019)
A miniaturised, high resolution visible and long wave infrared (LWIR) sensor was carried onboard an unmanned aerial vehicle to observe sections of radiata pine forests. The raw irradiance measurements were temporally pre-processed using a biologicall
Externí odkaz:
https://doaj.org/article/ba71c365760742c08c7cbda6d438dcfd
Autor:
D. Griffiths, J. Boehm
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 981-987 (2019)
Recent developments in the field of deep learning for 3D data have demonstrated promising potential for end-to-end learning directly from point clouds. However, many real-world point clouds contain a large class im-balance due to the natural class im
Externí odkaz:
https://doaj.org/article/5567991ef5ec4e62852d80cdd8aa2326
Autor:
D. Griffiths, J. Boehm
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2, Pp 391-398 (2018)
With deep learning approaches now out-performing traditional image processing techniques for image understanding, this paper accesses the potential of rapid generation of Convolutional Neural Networks (CNNs) for applied engineering purposes. Three CN
Externí odkaz:
https://doaj.org/article/6db8b803ae134194b3b27bdaaf8b510d
Autor:
D. Griffiths
Publikováno v:
Literator, Vol 30, Iss 2, Pp 107-126 (2009)
In Heidegger’s “Being and time” certain concepts are discussed which are central to the ontological constitution of “Dasein”. This article demonstrates the interesting way in which some of these concepts can be used in a reading of T.S. Eli
Externí odkaz:
https://doaj.org/article/438c187c4b964de6b8bb430c2c36945e
Autor:
Ryan D. Griffiths
Secession and the Sovereignty Game offers a comprehensive strategic theory for how secessionist movements attempt to win independence. Combining original data analysis, fieldwork, interviews with secessionist leaders, and case studies on Catalonia, t
Akademický článek
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Publikováno v:
BMC Psychology, Vol 10, Iss 1, Pp 1-10 (2022)
Abstract Background In online environments, fear of missing out (FoMO) is where individuals become constantly preoccupied with what others are doing online and feel unable to log off in case they miss something. FoMO is a concept associated with the
Externí odkaz:
https://doaj.org/article/9ed0b6f2eb9543fcba46bb07cfe031d6