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State estimation of zinc air batteries using neural networks

Crossref DOI link: https://doi.org/10.1007/s00521-018-3705-9

Published Online: 2018-09-28

Published Print: 2020-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Loechte, Andre http://orcid.org/0000-0002-9441-329X
Gebert, Ole

Heming, Daniel

Kallis, Klaus T.

Gloesekoetter, Peter
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Text and Data Mining valid from 2018-09-28
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Article History

Received: 13 January 2018

Accepted: 10 September 2018

First Online: 28 September 2018