Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Chan, AHY"'
Publikováno v:
Patient Preference and Adherence, Vol Volume 18, Pp 361-371 (2024)
Holly Foot,1,2 Kebede Beyene,3 Rob Horne,4 James Fingleton,5,6 Jeff Harrison,1 Amy Hai Yan Chan1,4 1School of Pharmacy, The University of Auckland, Auckland, New Zealand; 2School of Pharmacy, The University of Queensland, Woolloongabba, QLD, Australi
Externí odkaz:
https://doaj.org/article/c13e087bd0864a5a951c4e992e92370c
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 7, Iss 2, Pp 306-320 (2021)
Large‐scale dieback of ash trees (Fraxinus spp.) caused by the fungus Hymenoscyphus fraxineus is posing an immense threat to forest health in Europe, requiring effective monitoring at large scales. In this study, a pipeline was created to find ash
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cead7102beb273310a39c5d666f0e426
https://doaj.org/article/1d1dd7fb3b66427aba16b37a7451947c
https://doaj.org/article/1d1dd7fb3b66427aba16b37a7451947c
Publikováno v:
Remote Sensing; Volume 15; Issue 6; Pages: 1489
Peer reviewed: True
Funder: Bill & Melinda Gates Foundation
Burn-area products from remote sensing provide the backbone for research in fire ecology, management, and modelling. Landsat imagery could be used to create an accurate burn-area m
Funder: Bill & Melinda Gates Foundation
Burn-area products from remote sensing provide the backbone for research in fire ecology, management, and modelling. Landsat imagery could be used to create an accurate burn-area m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8130c72059bad1a425bbcaa8b379cfb4
https://doi.org/10.3390/rs15061489
https://doi.org/10.3390/rs15061489
Autor:
Thaggard, S, Reid, S, Chan, AHY, White, C, Fraser, L, Arroll, BA, Best, E, Whittaker, R, Wells, S, Thomas, MG, Ritchie, SR
Publikováno v:
BMC Infectious Diseases; 7/10/2023, Vol. 23 Issue 1, p1-10, 10p
Field spectroscopy is a powerful tool for monitoring leaf functional traits in situ, but it remains unclear whether universal statistical models can be developed to predict traits from spectral information, or whether re-calibration is necessary as c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42686d4d693cdd2273077d4d159c17bf
https://www.repository.cam.ac.uk/handle/1810/343415
https://www.repository.cam.ac.uk/handle/1810/343415
Publikováno v:
Remote Sensing
Volume 15
Issue 4
Pages: 1053
Volume 15
Issue 4
Pages: 1053
Hyperspectral images taken from aircraft or satellites contain information from hundreds of spectral bands, within which lie latent lower-dimensional structures that can be exploited for classifying vegetation and other materials. A disadvantage of w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89081c9995f8dfb973e635a9633d3ad1
https://doi.org/10.3390/rs15041053
https://doi.org/10.3390/rs15041053
Akademický článek
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Autor:
Lu Y, Travnickova J, Badonyi M, Rambow F, Coates A, Khan Z, Marques J, Murphy LC, Garcia-Martinez P, Marais R, Louphrasitthiphol P, Chan AHY, Schofield CJ, von Kriegsheim A, Marsh JA, Pavet V, Sansom OJ, Illingworth RS, Patton EE
Publikováno v:
Cell reports [Cell Rep] 2024 Nov 14; Vol. 43 (11), pp. 114927. Date of Electronic Publication: 2024 Nov 14.
Autor:
Moon Z; Spoonful of Sugar Ltd, a UCL Business Company, London, UK., Kaplan A; Family Physician Airways Group of Canada, Clinical Lecturer University of Toronto, Toronto, ON, Canada., Mak V; Imperial College NHS Healthcare Trust, London, UK., Nannini L; E Peron Hospital, Universidad Nacional de Rosario, Santa Fe, Argentina., Winders T; Global Asthma and Allergy Patient Platform, Vienna, Austria., Chan AHY; School of Pharmacy, University of Auckland, Auckland, New Zealand., Foot H; School of Pharmacy, University of Queensland, Brisbane City, QLD, Australia., Horne R; Centre for Behavioural Medicine, University College London, London, UK. r.horne@ucl.ac.uk.
Publikováno v:
NPJ primary care respiratory medicine [NPJ Prim Care Respir Med] 2024 Nov 05; Vol. 34 (1), pp. 36. Date of Electronic Publication: 2024 Nov 05.
Autor:
Jayamini WKD; Department of Computer Science, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand.; Department of Software Engineering, Faculty of Computing and Technology, University of Kelaniya, Kelaniya, Sri Lanka., Mirza F; Department of Computer Science, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand., Bidois-Putt MC; School of Pharmacy, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand., Naeem MA; Department of Data Science & Artificial Intelligence, National University of Computer and Emerging Sciences (NUCES), Islamabad, Pakistan., Chan AHY; School of Pharmacy, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Publikováno v:
JMIR formative research [JMIR Form Res] 2024 Oct 30; Vol. 8, pp. e59811. Date of Electronic Publication: 2024 Oct 30.