dc.contributor.author | Butz, Martin V. | |
dc.contributor.author | Zarfl, Christiane | |
dc.contributor.author | Scholten, Thomas | |
dc.contributor.author | Scholz, Fedor | |
dc.contributor.author | Traub, Manuel | |
dc.date.accessioned | 2024-05-22T07:27:52Z | |
dc.date.available | 2024-05-22T07:27:52Z | |
dc.date.issued | 2024-03-09 | |
dc.identifier.uri | http://hdl.handle.net/10900/153604 | |
dc.language.iso | en | de_DE |
dc.publisher | EGU General Assembly | de_DE |
dc.relation.uri | https://doi.org/10.5194/egusphere-egu24-11768 | de_DE |
dc.subject.ddc | 004 | de_DE |
dc.title | High-Efficiency Rainfall Data Compression Using Binarized Convolutional Autoencoder | de_DE |
dc.type | Article | de_DE |
utue.personen.roh | Butz, Martin V. | |
utue.personen.roh | Zarfl, Christiane | |
utue.personen.roh | Scholten, Thomas | |
utue.personen.roh | Scholz, Fedor | |
utue.personen.roh | Traub, Manuel | |
dcterms.isPartOf.ZSTitelID | EGU General Assembly 2024 | de_DE |
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