"Transfer Learning Strategies for Anomaly Detection in IoT Vibration Data."

Clemens Heistracher et al. (2021)

> Home

Details and statistics

DOI: 10.1109/IECON48115.2021.9589185

access: closed

type: Conference or Workshop Paper

metadata version: 2021-11-17

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/iecon/HeistracherJSSM21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iecon/HeistracherJSSM21
Clemens Heistracher, Anahid N. Jalali, Indu Strobl, Axel Suendermann, Sebastian Meixner, Stephanie Holly, Daniel Schall, Bernhard Haslhofer, Jana Kemnitz:
Transfer Learning Strategies for Anomaly Detection in IoT Vibration Data. IECON 2021: 1-6

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.