Zobrazeno 1 - 10
of 5 356
pro vyhledávání: '"Aichele, A."'
Autor:
Fresz, Benjamin, Göbels, Vincent Philipp, Omri, Safa, Brajovic, Danilo, Aichele, Andreas, Kutz, Janika, Neuhüttler, Jens, Huber, Marco F.
Developing and certifying safe - or so-called trustworthy - AI has become an increasingly salient issue, especially in light of upcoming regulation such as the EU AI Act. In this context, the black-box nature of machine learning models limits the use
Externí odkaz:
http://arxiv.org/abs/2408.02379
We derive time reflection and transmission coefficients for 1D acoustic waves encountering a time boundary at which the properties of the medium change instantaneously. The time reflection and transmission coefficients are shown to be identical to so
Externí odkaz:
http://arxiv.org/abs/2406.15203
Publikováno v:
Wave Motion, 2024
Waves in space-dependent and time-dependent materials obey similar wave equations, with interchanged time- and space-coordinates. However, since the causality conditions are the same in both types of material (i.e., without interchangement of coordin
Externí odkaz:
http://arxiv.org/abs/2311.13428
Autor:
Inight, K., Gänsicke, Boris T., Schwope, A., Anderson, S. F., Badenes, C., Breedt, E., Chandra, V., Davies, B. D. R., Fusillo, N. P. Gentile, Green, M. J., Hermes, J. J., Huamani, I. Achaica, Hwang, H., Knauff, K., Kurpas, J., Long, K. S., Malanushenko, V., Morrison, S., C., I. J. Quiroz, Ramos, G. N. Aichele, Roman-Lopes, A., Schreiber, M. R., Standke, A., Stütz, L., Thorstensen, J. R., Toloza, O., Tovmassian, G., Zakamska, N. L.
Publikováno v:
2023MNRAS.525.3597I
SDSS-V is carrying out a dedicated survey for white dwarfs, single and in binaries, and we report the analysis of the spectroscopy of cataclysmic variables (CVs) and CV candidates obtained during the final plug plate observations of SDSS. We identify
Externí odkaz:
http://arxiv.org/abs/2305.13371
Autor:
Jiahui Kang, Fabian Walter, Patrick Paitz, Johannes Aichele, Pascal Edme, Lorenz Meier, Andreas Fichtner
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 19, Pp n/a-n/a (2024)
Abstract Effective use of the wealth of information provided by Distributed Acoustic Sensing (DAS) for mass movement monitoring remains a challenge. We propose a semi‐supervised neural network tailored to screen DAS data related to a series of rock
Externí odkaz:
https://doaj.org/article/bfb09a042b7b44cea68452cdd127aea6
Autor:
Aichele, Stephen R.1 (AUTHOR) stephen.aichele@colostate.edu
Publikováno v:
Social Sciences (2076-0760). Nov2024, Vol. 13 Issue 11, p623. 14p.
Autor:
Aichele, Alexander, author
Publikováno v:
Baumgarten and Kant on the Foundations of Practical Philosophy, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780192873538.003.0009
Publikováno v:
In Intelligence November-December 2024 107
Publikováno v:
In Wave Motion October 2024 130
Predictors of Anxiety in Middle-Aged and Older European Adults: A Machine Learning Comparative Study
Autor:
Stephen R. Aichele
Publikováno v:
Social Sciences, Vol 13, Iss 11, p 623 (2024)
Anxiety in older adults is a prevalent yet under-recognized condition associated with significant societal and individual burdens. This study used a machine learning approach to compare the relative importance of 57 risk and protective factors for an
Externí odkaz:
https://doaj.org/article/b76964b9954540aca3b9d668b9857846