Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Deep Convolutional Variational Autoencoder as a 2D-Visualization Tool for ..."

Ryad A. Zemouri et al. (2020)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2019.2962775

access: open

type: Journal Article

metadata version: 2021-09-05

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/ZemouriLAHKT20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/ZemouriLAHKT20
Ryad A. Zemouri, Mélanie Lévesque, Normand Amyot, Claude Hudon, Olivier Kokoko, Souheil-Antoine Tahan:
Deep Convolutional Variational Autoencoder as a 2D-Visualization Tool for Partial Discharge Source Classification in Hydrogenerators. IEEE Access 8: 5438-5454 (2020)

a service of

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.