Zobrazeno 1 - 10
of 30
pro vyhledávání: '"P. Handmann"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Changes in the Atlantic Meridional Overturning Circulation (AMOC) represent a crucial component of Northern Hemisphere climate variability. In modelling studies decadal overturning variability has been attributed to the intensity of deep win
Externí odkaz:
https://doaj.org/article/8bafff3ae90a465788b094da5d1a46ff
Autor:
A. D. Fox, P. Handmann, C. Schmidt, N. Fraser, S. Rühs, A. Sanchez-Franks, T. Martin, M. Oltmanns, C. Johnson, W. Rath, N. P. Holliday, A. Biastoch, S. A. Cunningham, I. Yashayaev
Publikováno v:
Ocean Science, Vol 18, Pp 1507-1533 (2022)
Observations of the eastern subpolar North Atlantic in the 2010s show exceptional freshening and cooling of the upper ocean, peaking in 2016 with the lowest salinities recorded for 120 years. Published theories for the mechanisms driving the fresheni
Externí odkaz:
https://doaj.org/article/843ed525a0714f50a6a5ec961456c0de
Publikováno v:
Biogeosciences, Vol 19, Pp 437-454 (2022)
The Labrador Sea in the North Atlantic Ocean is one of the few regions globally where oxygen from the atmosphere can reach the deep ocean directly. This is the result of wintertime deep convection, which homogenizes the water column to a depth of up
Externí odkaz:
https://doaj.org/article/f3faf82cb4844925b6c7f2e9b5707122
Autor:
A. Biastoch, F. U. Schwarzkopf, K. Getzlaff, S. Rühs, T. Martin, M. Scheinert, T. Schulzki, P. Handmann, R. Hummels, C. W. Böning
Publikováno v:
Ocean Science, Vol 17, Pp 1177-1211 (2021)
A hierarchy of global 1/4∘ (ORCA025) and Atlantic Ocean 1/20∘ nested (VIKING20X) ocean–sea-ice models is described. It is shown that the eddy-rich configurations performed in hindcasts of the past 50–60 years under CORE and JRA55-do atmospher
Externí odkaz:
https://doaj.org/article/a0b7c80c32aa4f6395249b468139b5da
Publikováno v:
Ocean Science, Vol 18, Pp 1431-1450 (2022)
The North Atlantic Deep Water (NADW) is a crucial component of the Atlantic meridional overturning circulation and is therefore an important factor of the climate system. In order to estimate the mean relative contributions, sources, and pathways of
Externí odkaz:
https://doaj.org/article/beb74419323c4d1c81d009c98e647aa9
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 4, Iss 1, Pp 22-41 (2022)
Transfer learning is a machine learning technique that uses previously acquired knowledge from a source domain to enhance learning in a target domain by reusing learned weights. This technique is ubiquitous because of its great advantages in achievin
Externí odkaz:
https://doaj.org/article/ac7b08eb38104990b2f7ccb32fab2e06
We present a novel method to perform multi-class pattern classification with neural networks and test it on a challenging 3D hand gesture recognition problem. Our method consists of a standard one-against-all (OAA) classification, followed by another
Externí odkaz:
http://arxiv.org/abs/1601.01157
We present a novel hierarchical approach to multi-class classification which is generic in that it can be applied to different classification models (e.g., support vector machines, perceptrons), and makes no explicit assumptions about the probabilist
Externí odkaz:
http://arxiv.org/abs/1601.01121
Publikováno v:
Sensors, Vol 19, Iss 1, p 59 (2018)
In this review, we describe current Machine Learning approaches to hand gesture recognition with depth data from time-of-flight sensors. In particular, we summarise the achievements on a line of research at the Computational Neuroscience laboratory a
Externí odkaz:
https://doaj.org/article/e851dddc737c497cbfbac8138b62aeef
Autor:
Handmann, Patricia, Fischer, Jürgen, Visbeck, Martin, Karstensen, Johannes, Biastoch, Arne, Böning, Claus, Patara, Lavinia
Publikováno v:
Journal of Geophysical Research - Oceans; April 2018, Vol. 123 Issue: 4 p2829-2850, 22p