Zobrazeno 1 - 10
of 11 116
pro vyhledávání: '"A. Weimann"'
Autor:
Weimann, Kuba, Conrad, Tim O. F.
Accurate diagnosis of heart arrhythmias requires the interpretation of electrocardiograms (ECG), which capture the electrical activity of the heart. Automating this process through machine learning is challenging due to the need for large annotated d
Externí odkaz:
http://arxiv.org/abs/2410.13867
ChatGPT disrupted the application of machine-learning methods and drastically reduced the usage barrier. Chatbots are now widely used in a lot of different situations. They provide advice, assist in writing source code, or assess and summarize inform
Externí odkaz:
http://arxiv.org/abs/2406.16572
Autor:
Poteaux, Adrien, Weimann, Martin
We obtain new complexity bounds for computing a triangular integral basis of a number field or a function field. We reach for function fields a softly linear cost with respect to the size of the output when the residual characteristic is zero or big
Externí odkaz:
http://arxiv.org/abs/2405.13577
Publikováno v:
International Journal of Infectious Diseases, Vol 101, Iss , Pp 303- (2020)
Externí odkaz:
https://doaj.org/article/b2d561cca06843b292aa2d29de1fa525
Autor:
Ofek, E. O., Shvartzvald, Y., Sharon, A., Tishler, C., Elhanati, D., Segev, N., Ben-Ami, S., Nir, G., Segre, E., Sofer-Rimalt, Y., Blumenzweig, A., Strotjohann, N. L., Polishook, D., Krassilchtchikov, A., Zenin, A., Ramazani, V. Fallah, Weimann, S., Garrappa, S., Shanni, Y., Chen, P., Zimmerman, E.
The Large Array Survey Telescope (LAST) is a wide-field telescope designed to explore the variable and transient sky with a high cadence and to be a test-bed for cost-effective telescope design. A LAST node is composed of 48 (32 already deployed), 28
Externí odkaz:
http://arxiv.org/abs/2310.13063
We show how to assign labels of size $\tilde O(1)$ to the vertices of a directed planar graph $G$, such that from the labels of any three vertices $s,t,f$ we can deduce in $\tilde O(1)$ time whether $t$ is reachable from $s$ in the graph $G\setminus
Externí odkaz:
http://arxiv.org/abs/2307.07222
Autor:
Dinges, Laslo, Fiedler, Marc-André, Al-Hamadi, Ayoub, Hempel, Thorsten, Abdelrahman, Ahmed, Weimann, Joachim, Bershadskyy, Dmitri
Deception detection is an interdisciplinary field attracting researchers from psychology, criminology, computer science, and economics. We propose a multimodal approach combining deep learning and discriminative models for automated deception detecti
Externí odkaz:
http://arxiv.org/abs/2307.06625
Autor:
Shanin, Nikita, Clochiatti, Simone, Mayer, Kenneth M., Cottatellucci, Laura, Weimann, Nils, Schober, Robert
In this paper, we study THz simultaneous wireless information and power transfer (SWIPT) systems. Since coherent information detection is challenging at THz frequencies and Schottky diodes may not be efficient for THz energy harvesting (EH) and infor
Externí odkaz:
http://arxiv.org/abs/2307.06036
Autor:
Shanin, Nikita, Clochiatti, Simone, Mayer, Kenneth M., Cottatellucci, Laura, Weimann, Nils, Schober, Robert
In this paper, we study terahertz (THz) simultaneous wireless information and power transfer (SWIPT) for future micro-scale 6G Internet-of-Things (IoT) networks. Since Schottky diodes are not efficient for THz energy harvesting (EH), we propose reson
Externí odkaz:
http://arxiv.org/abs/2305.03532
The Voronoi diagrams technique was introduced by Cabello to compute the diameter of planar graphs in subquadratic time. We present novel applications of this technique in static, fault-tolerant, and partially-dynamic undirected unweighted planar grap
Externí odkaz:
http://arxiv.org/abs/2305.02946