Zobrazeno 1 - 10
of 7 455
pro vyhledávání: '"A, Olbrich"'
Autor:
Nieradzik, Lars, Stephani, Henrike, Sieburg-Rockel, Jördis, Helmling, Stephanie, Olbrich, Andrea, Wrage, Stephanie, Keuper, Janis
Wood species identification plays a crucial role in various industries, from ensuring the legality of timber products to advancing ecological conservation efforts. This paper introduces WoodYOLO, a novel object detection algorithm specifically design
Externí odkaz:
http://arxiv.org/abs/2411.11738
Autor:
Köppl, Dominik, Olbrich, Jannik
Generalizations of plain strings have been proposed as a compact way to represent a collection of nearly identical sequences or to express uncertainty at specific text positions by enumerating all possibilities. While a plain string stores a characte
Externí odkaz:
http://arxiv.org/abs/2411.10653
In order to truly understand how social media might shape online discourses or contribute to societal polarization, we need refined models of platform choice, that is: models that help us understand why users prefer one social media platform over ano
Externí odkaz:
http://arxiv.org/abs/2411.04681
Autor:
Olbrich, Stephan, Beckert, Andreas, Michel, Cécile, Schroer, Christian, Ehteram, Samaneh, Schropp, Andreas, Paetzold, Philipp
Cuneiform is the earliest known system of writing, first developed for the Sumerian language of southern Mesopotamia in the second half of the 4th millennium BC. Cuneiform signs are obtained by impressing a stylus on fresh clay tablets. For certain p
Externí odkaz:
http://arxiv.org/abs/2409.04236
Autor:
Nieradzik, Lars, Stephani, Henrike, Sieburg-Rockel, Jördis, Helmling, Stephanie, Olbrich, Andrea, Keuper, Janis
Publikováno v:
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP, 2024, pp. 483-492
In this study, we explore the explainability of neural networks in agriculture and forestry, specifically in fertilizer treatment classification and wood identification. The opaque nature of these models, often considered 'black boxes', is addressed
Externí odkaz:
http://arxiv.org/abs/2402.11670
Autor:
Henriette Louise Moellmann, Eman Alhammadi, Soufian Boulghoudan, Julian Kuhlmann, Anica Mevissen, Philipp Olbrich, Louisa Rahm, Helmut Frohnhofen
Publikováno v:
BMC Geriatrics, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background The risk factors for postoperative delirium are numerous and complex. One approach to identifying patients at risk is to evaluate their nutritional status. The aim of this prospective study is to better understand nutrition as a p
Externí odkaz:
https://doaj.org/article/b24938a795454eadaf5e21382973ad2f
Publikováno v:
Advances in Radio Science, Vol 22, Pp 53-59 (2024)
This paper is a direct continuation of “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development” (Maalouly et al., 2022). The previous paper aimed to classify the electromagnetic compatibility (EMC)
Externí odkaz:
https://doaj.org/article/90c9a2ad000048c7b67d6d17aa13dafa
Autor:
Nieradzik, Lars, Sieburg-Rockel, Jördis, Helmling, Stephanie, Keuper, Janis, Weibel, Thomas, Olbrich, Andrea, Stephani, Henrike
We have developed a methodology for the systematic generation of a large image dataset of macerated wood references, which we used to generate image data for nine hardwood genera. This is the basis for a substantial approach to automate, for the firs
Externí odkaz:
http://arxiv.org/abs/2307.09588
Autor:
Luppi, Andrea I., Olbrich, Eckehard, Finn, Conor, Suárez, Laura E., Rosas, Fernando E., Mediano, Pedro A. M., Jost, Jürgen
Understanding how different networks relate to each other is key for obtaining a greater insight into complex systems. Here, we introduce an intuitive yet powerful framework to characterise the relationship between two networks comprising the same no
Externí odkaz:
http://arxiv.org/abs/2306.01645
Autor:
Shobhan Dhir, John Cattermull, Ben Jagger, Maximilian Schart, Lorenz F. Olbrich, Yifan Chen, Junyi Zhao, Krishnakanth Sada, Andrew Goodwin, Mauro Pasta
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Potassium-ion batteries (KIBs) are emerging as a promising alternative technology to lithium-ion batteries (LIBs) due to their significantly reduced dependency on critical minerals. KIBs may also present an opportunity for superior fast-char
Externí odkaz:
https://doaj.org/article/4fae377797ac4cc483c19b7afdbca51b