Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Markus Abel"'
Publikováno v:
Journal of Open Research Software, Vol 7, Iss 1 (2019)
We present Glyph – a Python package for genetic programming based symbolic regression. Glyph is designed for usage in numerical simulations as well as real world experiments. For experimentalists, glyph-remote provides a separation of tasks: a Zero
Externí odkaz:
https://doaj.org/article/fce1d47072dc45088a7e621a37971018
Publikováno v:
Proceedings, Vol 33, Iss 1, p 33 (2020)
Many inference problems relate to a dynamical system, as represented by dx/dt = f (x), where x ∈ ℝn is the state vector and f is the (in general nonlinear) system function or model. Since the time of Newton, researchers have pondered the problem
Externí odkaz:
https://doaj.org/article/1a965a96a2e64ef4825a377f704b4254
Publikováno v:
Entropy, Vol 21, Iss 8, p 776 (2019)
The concept of a “flow network”—a set of nodes and links which carries one or more flows—unites many different disciplines, including pipe flow, fluid flow, electrical, chemical reaction, ecological, epidemiological, neurological, communicati
Externí odkaz:
https://doaj.org/article/2c88f77e909f40c697b687385b3d4904
Autor:
Mania Ackermann, Fawaz Saleh, Shifaa M. Abdin, Anna Rafiei Hashtchin, Ingrid Gensch, Julia Golgath, Marco Carvalho Oliveira, Ariane H. H. Nguyen, Svenja Gaedcke, Arno Fenske, Mi-Sun Jang, Adan C. Jirmo, Markus Abeln, Gesine Hansen, Nico Lachmann
Publikováno v:
Stem Cell Research & Therapy, Vol 15, Iss 1, Pp 1-21 (2024)
Abstract Background There is a significant demand for intermediate-scale bioreactors in academic and industrial institutions to produce cells for various applications in drug screening and/or cell therapy. However, the application of these bioreactor
Externí odkaz:
https://doaj.org/article/a386a9eed5a141dcb1f49f98b94c1d5f
Autor:
Thomas Seidler, Benedikt Gräler, Norbert Schultz, Markus Quade, PD Dr. Markus Abel, Christian Autermann
Earth system modeling is virtually impossible without dedicated data analysis. Typically, data are big and due to the complexity of the system, adequate tools for the analysis lie in the domain of machine learning or artificial intelligence. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bcf8ac7f43abe9434c5e18b5558848e
https://doi.org/10.5194/egusphere-egu21-9632
https://doi.org/10.5194/egusphere-egu21-9632
Obtaining a quantitative measure for the uncertainty of forecasts for renewable energy has proven to be a challenging problem in the past. We present results on predicting uncertainty of a forecast conditioned on the large weather situation (Großwet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::443c02d51fa63fb94bbd470c250d492c
https://doi.org/10.5194/egusphere-egu21-13132
https://doi.org/10.5194/egusphere-egu21-13132
Autor:
Stefan Kollet, Markus Abel, Julia Kowalski, Martin G. Schultz, Benedikt Gräler, Scarlet Stadtler, Susanne Crewell, Ribana Roscher
Artificial intelligence (AI) methods currently experience rapid development and are also used more and more frequently in environmental and Earth system sciences. To date however, this is often done in the context of isolated rather than systematic s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fd3d51fbc3bc82982f71f6b8a0abeeb
https://doi.org/10.5194/egusphere-egu21-211
https://doi.org/10.5194/egusphere-egu21-211
Autor:
Michael Schmidt, Alexandra T. Linder, Marina Korn, Nick Schellenberg, Sarah J. Meyer, Falk Nimmerjahn, Anja Werner, Markus Abeln, Rita Gerardy-Schahn, Anja K. Münster-Kühnel, Lars Nitschke
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
Sialic acids are found as terminal sugars on glycan structures on cellular surfaces. T cells carry these sialoglycans abundantly, and they are thought to serve multiple functions in cell adhesion, cell migration, and protection from complement attack
Externí odkaz:
https://doaj.org/article/8c5b3ce0d2684371a533192aaf40fe7f
Publikováno v:
22nd Australasian Fluid Mechanics Conference AFMC2020
22nd Australasian Fluid Mechanics Conference AFMC2020, Dec 2020, Brisbane, Australia. ⟨10.14264/692fcb8⟩
22nd Australasian Fluid Mechanics Conference AFMC2020, Dec 2020, Brisbane, Australia. ⟨10.14264/692fcb8⟩
International audience; Fluid flow systems provide physical expressions of dynamical systems, typically writtenẋ x x = f (x x x), where x x x is the state vector and f is the system function or model. The identification of the dynamical system f fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c15994b2f77a3dd6a347d6db7cd8381
https://hal.archives-ouvertes.fr/hal-03088615
https://hal.archives-ouvertes.fr/hal-03088615
Several international and national initiatives allow access to data from wind measurements, e. g. NREL wind prospector or the international wind atlases. But there is no adequate platform for combined commercial and scientific needs.Kraken realizes o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7584b577fe8c551aa53a860a1fb666be
https://doi.org/10.5194/egusphere-egu2020-7184
https://doi.org/10.5194/egusphere-egu2020-7184