Matches in Ghent University Academic Bibliography for { <https://biblio.ugent.be/publication/01HTHKTH0AES11XPRB7XJWK3W4> ?p ?o. }
Showing items 1 to 17 of
17
with 100 items per page.
- 01HTHKTH0AES11XPRB7XJWK3W4 classification C3.
- 01HTHKTH0AES11XPRB7XJWK3W4 date "2022".
- 01HTHKTH0AES11XPRB7XJWK3W4 language "eng".
- 01HTHKTH0AES11XPRB7XJWK3W4 type conference.
- 01HTHKTH0AES11XPRB7XJWK3W4 hasPart 01HTHM5BJC01SSPD13KA32G95V.pdf.
- 01HTHKTH0AES11XPRB7XJWK3W4 subject "Physics and Astronomy".
- 01HTHKTH0AES11XPRB7XJWK3W4 subject "Technology and Engineering".
- 01HTHKTH0AES11XPRB7XJWK3W4 presentedAt urn:uuid:b08d22a2-ca5e-4ffe-9afa-cfbab94a8d12.
- 01HTHKTH0AES11XPRB7XJWK3W4 abstract "Fusion research and development can benefit greatly from modern data science methods, both for increasing the understanding of the underlying plasma physics and for optimizing the design and operation of fusion machines. From basic statistical techniques for model fitting, to Bayesian methods for probabilistic analysis of data from single or multiple diagnostics, to the latest machine learning techniques for anomaly detection and uncertainty quantification: the applications are numerous and the possible approaches originate from a broad range of subfields of the information sciences. In this talk, a number of recent applications of Bayesian inference in fusion will be highlighted. We first discuss integrated analysis of fusion diagnostic data for estimating impurity concentrations, focusing in particular on speeding up or approximating the inference process with a view to real-time implementations. We then proceed to applications of Bayesian inference in pattern recognition, concentrating on robust estimation of scaling laws in complex, multi-machine data sets, as well as anomaly detection for predictive maintenance in fusion devices.".
- 01HTHKTH0AES11XPRB7XJWK3W4 author FB346378-F0ED-11E1-A9DE-61C894A0A6B4.
- 01HTHKTH0AES11XPRB7XJWK3W4 dateCreated "2024-04-03T09:14:45Z".
- 01HTHKTH0AES11XPRB7XJWK3W4 dateModified "2024-11-28T00:14:18Z".
- 01HTHKTH0AES11XPRB7XJWK3W4 name "Bayesian probability for integrated data analysis and pattern recognition in fusion plasmas".
- 01HTHKTH0AES11XPRB7XJWK3W4 pagination urn:uuid:d8eebb33-2138-4e54-8bbf-a81e67a4d7bf.
- 01HTHKTH0AES11XPRB7XJWK3W4 sameAs LU-01HTHKTH0AES11XPRB7XJWK3W4.
- 01HTHKTH0AES11XPRB7XJWK3W4 sourceOrganization urn:uuid:29986a29-abd9-4a66-aa5c-f009adfaf8fe.
- 01HTHKTH0AES11XPRB7XJWK3W4 type C3.