Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Jochen Garcke"'
Publikováno v:
IEEE Access, Vol 11, Pp 8029-8056 (2023)
What makes living systems flexible so that they can react quickly and adapt easily to changing environments? This question has not only engaged biologists for decades but is also of great interest to computer scientists and engineers who seek inspira
Externí odkaz:
https://doaj.org/article/e37668ae07d443b8896f024efdba1225
Publikováno v:
Data-Centric Engineering, Vol 4 (2023)
We introduce an approach for damage detection in gearboxes based on the analysis of sensor data with the multi-resolution dynamic mode decomposition (mrDMD). The application focus is the condition monitoring of wind turbine gearboxes under varying lo
Externí odkaz:
https://doaj.org/article/587a7a06a61f4dd7b16dc293c461ab24
Autor:
Jochen Garcke, Ribana Roscher
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 1, Pp 169-170 (2023)
Machine learning methods are widely used in commercial applications and in many scientific areas [...]
Externí odkaz:
https://doaj.org/article/90891ad8a8854324b80f2b31672902ef
Publikováno v:
IEEE Access, Vol 8, Pp 42200-42216 (2020)
Machine learning methods have been remarkably successful for a wide range of application areas in the extraction of essential information from data. An exciting and relatively recent development is the uptake of machine learning in the natural scienc
Externí odkaz:
https://doaj.org/article/07abd4e1023e4666a93531d3bcbd6d7f
Publikováno v:
Frontiers in Water, Vol 3 (2021)
A deep learning (DL) model learns a function relating a set of input variables with a set of target variables. While the representation of this function in form of the DL model often lacks interpretability, several interpretation methods exist that p
Externí odkaz:
https://doaj.org/article/954a6b716d4d4985bb9a1ca6b1cba54b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 8, Iss 5, Pp 2306-2317 (2015)
Quantitative retrieval is a growing area in remote sensing due to the rapid development of remote instruments and retrieval algorithms. The aerosol optical depth (AOD) is a significant optical property of aerosol which is involved in further applicat
Externí odkaz:
https://doaj.org/article/4d90bbc51d8b4e238d827745a675bfb0
Publikováno v:
Geoscientific model development 16(8), 2149-2166 (2023). doi:10.5194/gmd-16-2149-2023
Earth is a complex non-linear dynamical system. Despite decades of research and considerable scientific and methodological progress, many processes and relations between Earth system variables remain poorly understood. Current approaches for studying
Publikováno v:
eISSN
Geoscientific model development (2022). doi:10.5194/egusphere-2022-105
Geoscientific model development (2022). doi:10.5194/egusphere-2022-105
The Earth system is a complex non-linear dynamical system. Despite decades of research, many processes and relations between Earth system variables are still poorly understood. Current approaches for studying relations in the Earth system may be broa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d8420fe3352f2995fa1d5e7c9b01f33
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-105/
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-105/
Publikováno v:
Applied Intelligence.
We propose the representation of data from finite element car crash simulations in a graph database to empower analysis approaches. The industrial perspective of this work is to narrow the gap between the uptake of modern machine learning methods and
Autor:
Anahita Pakiman, Jochen Garcke
We consider graph modeling for a knowledge graph for vehicle development, with a focus on crash safety. An organized schema that incorporates information from various structured and unstructured data sources is provided, which includes relevant conce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c6447a3af750f391db2e62db7183214
http://arxiv.org/abs/2209.14910
http://arxiv.org/abs/2209.14910