Zobrazeno 1 - 10
of 24 471
pro vyhledávání: '"P, Keegan"'
Determining the underlying equations of motion and parameter values for vibrating structures is of great concern in science and engineering. This work introduces a new data-driven approach called the energy-based dual-phase dynamics identification (E
Externí odkaz:
http://arxiv.org/abs/2410.17845
Identifying nonlinear dynamics and characterizing noise from data is critical across science and engineering for understanding and modeling the behavior of the systems accurately. The modified sparse identification of nonlinear dynamics (mSINDy) has
Externí odkaz:
http://arxiv.org/abs/2410.17838
Autor:
Keegan, Katherine, Newman, Elizabeth
Tensor decompositions have become essential tools for feature extraction and compression of multiway data. Recent advances in tensor operators have enabled desirable properties of standard matrix algebra to be retained for multilinear factorizations.
Externí odkaz:
http://arxiv.org/abs/2409.19402
We introduce the notion of a flat extension of a connection $\theta$ on a principal bundle. Roughly speaking, $\theta$ admits a flat extension if it arises as the pull-back of a component of a Maurer-Cartan form. For trivial bundles over closed orien
Externí odkaz:
http://arxiv.org/abs/2409.12811
Publikováno v:
Journal of Big History, Vol 4, Iss 1, Pp 4-12 (2020)
As a social phenomenon, is war subordinate to politics, as Carl von Clausewitz argued in the early nineteenth century, or, instead, is it the product of an instinctive ‘warrior culture’, common to all peoples and times and beyond politics, as Joh
Externí odkaz:
https://doaj.org/article/aca8e31f528d499584030475856a0ef8
The large spatial/temporal/frequency scale of geoscience and remote-sensing datasets causes memory issues when using convolutional neural networks for (sub-) surface data segmentation. Recently developed fully reversible or fully invertible networks
Externí odkaz:
http://arxiv.org/abs/2407.00595
Generative artificial intelligence models, when trained on a sufficient number of a person's images, can replicate their identifying features in a photorealistic manner. We refer to this process as 'likeness generation'. Likeness-featuring synthetic
Externí odkaz:
http://arxiv.org/abs/2407.12030
Publikováno v:
A&A 689, A208 (2024)
Context. A thousand new magnetic candidate CP stars have been identified with LAMOST, among which about 700 prime targets have rotational modulation determined from TESS. Aims. We aim to check for the presence of a magnetic field in a subsample of th
Externí odkaz:
http://arxiv.org/abs/2406.11554
Autor:
Newman, Elizabeth, Keegan, Katherine
Recent advances in {matrix-mimetic} tensor frameworks have made it possible to preserve linear algebraic properties for multilinear data analysis and, as a result, to obtain optimal representations of multiway data. Matrix mimeticity arises from inte
Externí odkaz:
http://arxiv.org/abs/2406.06942
Publikováno v:
Biology Open, Vol 10, Iss 1 (2021)
First Person is a series of interviews with the first authors of a selection of papers published in Biology Open, helping early-career researchers promote themselves alongside their papers. Keegan Bush is first author on ‘Drosophila model of anti-r
Externí odkaz:
https://doaj.org/article/cdf23f7a5cc0460f916d74e3aed9a21a