Zobrazeno 1 - 10
of 4 351
pro vyhledávání: '"Danz"'
Autor:
Pamela Pagador, Adrienne Pacleb, Mikaela J. Ormita, Frances E. Valencia, Danz H. Velasco, Rosemarie Josue-Dominguez
Publikováno v:
International Journal of Medical Students, Vol 10, Iss 3 (2022)
Background: Access to COVID-19 vaccines was one of the global measures for containing the COVID-19 pandemic. However, it is still not known whether Filipinos accept it. Methods: Cross-sectional study based on a modified version of the community CO
Externí odkaz:
https://doaj.org/article/ca37d45584f64a8b8f213566f8b2a5dd
Autor:
Schröder, Stefan, Felipe, João, Danz, Sven, Kienast, Pascal, Ciani, Alessandro, Ganser, Philipp, Bergs, Thomas
In this paper, a methodical approach to evaluate the potential of quantum computing for manufacturing simulation, using the example of multi-axis milling of thin-walled aerospace components, is discussed. A developed approach for identifying bottlene
Externí odkaz:
http://arxiv.org/abs/2408.08730
Autor:
Danz, Sven, Berta, Mario, Schröder, Stefan, Kienast, Pascal, Wilhelm, Frank K., Ciani, Alessandro
We study the problem of estimating frequency response functions of systems of coupled, classical harmonic oscillators using a quantum computer. The functional form of these response functions can be mapped to a corresponding eigenproblem of a Hermiti
Externí odkaz:
http://arxiv.org/abs/2405.08694
Publikováno v:
EPJ Web of Conferences, Vol 266, p 03013 (2022)
Snapshot multispectral imaging is a rising non-invasive and contact-free analysis method and technology to discriminate or identify objects based on their spectral characteristics. We demonstrate a versatile system approach for compact and real-time
Externí odkaz:
https://doaj.org/article/7d86a2fda04b4948947091bdf7992b95
Autor:
Maass, Wolfgang, Agrawal, Ankit, Ciani, Alessandro, Danz, Sven, Delgadillo, Alejandro, Ganser, Philipp, Kienast, Pascal, Kulig, Marco, König, Valentina, Rodellas-Gràcia, Nil, Rughubar, Rivan, Schröder, Stefan, Stautner, Marc, Stein, Hannah, Stollenwerk, Tobias, Zeuch, Daniel, Wilhelm, Frank K.
Quantum computing (QC) and machine learning (ML), taken individually or combined into quantum-assisted ML (QML), are ascending computing paradigms whose calculations come with huge potential for speedup, increase in precision, and resource reductions
Externí odkaz:
http://arxiv.org/abs/2401.10623