Zobrazeno 1 - 10
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pro vyhledávání: '"Rahm A"'
Entity resolution is essential for data integration, facilitating analytics and insights from complex systems. Multi-source and incremental entity resolution address the challenges of integrating diverse and dynamic data, which is common in real-worl
Externí odkaz:
http://arxiv.org/abs/2412.09355
Privacy-Preserving Record linkage (PPRL) is an essential component in data integration tasks of sensitive information. The linkage quality determines the usability of combined datasets and (machine learning) applications based on them. We present a n
Externí odkaz:
http://arxiv.org/abs/2412.04178
Gait analysis using computer vision is an emerging field in AI, offering clinicians an objective, multi-feature approach to analyse complex movements. Despite its promise, current applications using RGB video data alone are limited in measuring clini
Externí odkaz:
http://arxiv.org/abs/2411.13716
Autor:
Rahm AK, Gramlich D, Wieder T, Müller ME, Schoeffel A, El Tahry FA, Most P, Heimberger T, Sandke S, Weis T, Ullrich ND, Korff T, Lugenbiel P, Katus HA, Thomas D
Publikováno v:
Pharmacogenomics and Personalized Medicine, Vol Volume 14, Pp 579-590 (2021)
Ann-Kathrin Rahm,1– 3 Dominik Gramlich,1– 3 Teresa Wieder,1,2 Mara Elena Müller,1– 3 Axel Schoeffel,1,2 Fadwa A El Tahry,1 Patrick Most,1,2 Tanja Heimberger,1,3 Steffi Sandke,1,3 Tanja Weis,1,3 Nina D Ullrich,4 Thomas Korff,4,5 Patrick Lugenbi
Externí odkaz:
https://doaj.org/article/7e3a7a4bea9b41b5a710f422f800cde8
Autor:
Osuna-Vargas, Pamela, Wehrheim, Maren H., Zinz, Lucas, Rahm, Johanna, Balakrishnan, Ashwin, Kaminer, Alexandra, Heilemann, Mike, Kaschube, Matthias
Advances in microscopy imaging enable researchers to visualize structures at the nanoscale level thereby unraveling intricate details of biological organization. However, challenges such as image noise, photobleaching of fluorophores, and low tolerab
Externí odkaz:
http://arxiv.org/abs/2409.12078
Machine Learning (ML) is crucial in many sectors, including computer vision. However, ML models trained on sensitive data face security challenges, as they can be attacked and leak information. Privacy-Preserving Machine Learning (PPML) addresses thi
Externí odkaz:
http://arxiv.org/abs/2409.01329
Clinical gait analysis (CGA) using computer vision is an emerging field in artificial intelligence that faces barriers of accessible, real-world data, and clear task objectives. This paper lays the foundation for current developments in CGA as well a
Externí odkaz:
http://arxiv.org/abs/2407.04190
This article investigates the torsion homology behaviour in towers of Oeljeklaus-Toma (OT) manifolds. This adapts an idea of Silver and Williams from knot theory to OT-manifolds and extends it to higher degree homology groups.In the case of surfaces,
Externí odkaz:
http://arxiv.org/abs/2406.14942
The near-term utility of quantum computers is hindered by hardware constraints in the form of noise. One path to achieving noise resilience in hybrid quantum algorithms is to decrease the required circuit depth -- the number of applied gates -- to so
Externí odkaz:
http://arxiv.org/abs/2402.16659
Autor:
Hausser, H. N., Keller, J., Nordmann, T., Bhatt, N. M., Kiethe, J., Liu, H., Richter, I. M., von Boehn, M., Rahm, J., Weyers, S., Benkler, E., Lipphardt, B., Doerscher, S., Stahl, K., Klose, J., Lisdat, C., Filzinger, M., Huntemann, N., Peik, E., Mehlstäubler, T. E.
We present a scalable mixed-species Coulomb crystal clock based on the $^1S_0$ $\leftrightarrow$ $^3P_0$ transition in $^{115}$In$^+$. $^{172}$Yb$^+$ ions are co-trapped and used for sympathetic cooling. Reproducible interrogation conditions for mixe
Externí odkaz:
http://arxiv.org/abs/2402.16807