Zobrazeno 1 - 10
of 121
pro vyhledávání: '"T. Stomberg"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
The accurate and comprehensive mapping of land cover has become a central task in modern environmental research, with increasing emphasis on machine learning approaches. However, a clear technical definition of the land cover class is a prerequisite
Externí odkaz:
https://doaj.org/article/a69343f8f9dc4de183aeea3ee65036cf
Autor:
C. Betancourt, T. T. Stomberg, A.-K. Edrich, A. Patnala, M. G. Schultz, R. Roscher, J. Kowalski, S. Stadtler
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 4331-4354 (2022)
Tropospheric ozone is a toxic greenhouse gas with a highly variable spatial distribution which is challenging to map on a global scale. Here, we present a data-driven ozone-mapping workflow generating a transparent and reliable product. We map the gl
Externí odkaz:
https://doaj.org/article/3cc58269075f4002b33d4f4561477fab
Autor:
Santy-Tomlinson J; Faculty of Health and Social Care, The University of Hull, Hull, UK. J.Santy@hull.ac.uk
Publikováno v:
Journal of clinical nursing [J Clin Nurs] 2010 Mar; Vol. 19 (5-6), pp. 898-9.
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2021, Pp 317-324 (2021)
Explainable machine learning has recently gained attention due to its contribution to understanding how a model works and why certain decisions are made. A so far less targeted goal, especially in remote sensing, is the derivation of new knowledge an
Externí odkaz:
https://doaj.org/article/c22ec93b55f146e6b7247c4e4d2e58ad
Publikováno v:
Earth System Science Data, Vol 13, Pp 3013-3033 (2021)
With the AQ-Bench dataset, we contribute to the recent developments towards shared data usage and machine learning methods in the field of environmental science. The dataset presented here enables researchers to relate global air quality metrics to e
Externí odkaz:
https://doaj.org/article/b4d6056825ad4e93887002b9ec4eb735
Autor:
Julie Santy-Tomlinson
Publikováno v:
Journal of Clinical Nursing. 19:898-899
Publikováno v:
IEEE Geoscience and Remote Sensing Magazine. 11:103-114
Autor:
Clara Betancourt, Timo T. Stomberg, Ann-Kathrin Edrich, Ankit Patnala, Martin G. Schultz, Ribana Roscher, Julia Kowalski, Scarlet Stadtler
Publikováno v:
Geoscientific model development discussions (2022). doi:10.5194/gmd-2022-2
Geoscientific model development 15(11), 4331-4354 (2022). doi:10.5194/gmd-15-4331-2022
Geoscientific model development : GMD 15(11), 4331-4354 (2022). doi:10.5194/gmd-15-4331-2022
Geoscientific model development 15(11), 4331-4354 (2022). doi:10.5194/gmd-15-4331-2022
Geoscientific model development : GMD 15(11), 4331-4354 (2022). doi:10.5194/gmd-15-4331-2022
Geoscientific model development : GMD 15(11), 4331-4354 (2022). doi:10.5194/gmd-15-4331-2022
Published by Copernicus, Katlenburg-Lindau
Published by Copernicus, Katlenburg-Lindau
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73bf73c6131b170fa317d3aaf284ddbc
https://juser.fz-juelich.de/record/905607
https://juser.fz-juelich.de/record/905607
Autor:
Moskal-Szybka, Małgorzata1 mg.moskal@wp.pl, Moskal, Anna2
Publikováno v:
Surgical & Vascular Nursing / Pielegniarstwo Chirurgiczne i Angiologiczne. 2023, Vol. 17 Issue 4, p166-171. 6p.
Autor:
Wieber, Juliane1,2,3 (AUTHOR) j.wieber@outlook.de.ORCID:https://orcid.org/0000-0002-2904-9305, Brandt, Jasmin1,2 (AUTHOR), Pieper, Maike1,2 (AUTHOR), Hirschhäuser, Eva1,2 (AUTHOR), Catalá-Lehnen, Philip3 (AUTHOR), Rein, Robert2 (AUTHOR), Braunstein, Bjoern1,4,5,6 (AUTHOR)
Publikováno v:
Technology & Health Care. 2023, Vol. 31 Issue 5, p1567-1578. 12p.