Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings:
Gespeichert in:
| Beteiligte Personen: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2020
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| Schlagwörter: | |
| Links: | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-155766 https://d-nb.info/1225123607/34 https://open.fau.de/handle/openfau/15576 |
| Umfang: | 1 Online-Ressource |
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| indexdate | 2024-12-20T19:10:03Z |
| institution | BVB |
| language | English |
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| spelling | Schlegel, Patrick Verfasser aut Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings Patrick Schlegel, Stefan Kniesburges, Stephan Dürr, Anne Schützenberger, Michael Döllinger Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2020 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Diseases Scientific data Kniesburges, Stefan Verfasser aut Dürr, Stephan Verfasser aut Schützenberger, Anne Verfasser aut Döllinger, Michael Verfasser aut Sonderdruck aus Scientific Reports Vol. 10 (2020) 10.1038/s41598-020-66405-y https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-155766 Resolving-System kostenfrei Volltext https://d-nb.info/1225123607/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/15576 Verlag kostenfrei Volltext 1\p aepkn 0,85979 20210116 DE-101 https://d-nb.info/provenance/plan#aepkn 2\p aepsg 0,99853 20210116 DE-101 https://d-nb.info/provenance/plan#aepsg |
| spellingShingle | Schlegel, Patrick Kniesburges, Stefan Dürr, Stephan Schützenberger, Anne Döllinger, Michael Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings |
| title | Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings |
| title_auth | Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings |
| title_exact_search | Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings |
| title_full | Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings Patrick Schlegel, Stefan Kniesburges, Stephan Dürr, Anne Schützenberger, Michael Döllinger |
| title_fullStr | Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings Patrick Schlegel, Stefan Kniesburges, Stephan Dürr, Anne Schützenberger, Michael Döllinger |
| title_full_unstemmed | Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings Patrick Schlegel, Stefan Kniesburges, Stephan Dürr, Anne Schützenberger, Michael Döllinger |
| title_short | Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings |
| title_sort | machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high speed recordings |
| url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-155766 https://d-nb.info/1225123607/34 https://open.fau.de/handle/openfau/15576 |
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