UltraTrail: A Configurable Ultralow-Power TC-ResNet AI Accelerator for Efficient Keyword Spotting

DSpace Repository

Show simple item record

dc.contributor.author Bernardo, Paul Palomero
dc.contributor.author Gerum, Christoph
dc.contributor.author Frischknecht, Adrian
dc.contributor.author Lubeck, Konstantin
dc.contributor.author Bringmann, Oliver
dc.date.accessioned 2021-06-16T13:45:38Z
dc.date.available 2021-06-16T13:45:38Z
dc.date.issued 2020
dc.identifier.issn 1937-4151
dc.identifier.uri http://hdl.handle.net/10900/116324
dc.language.iso en en
dc.publisher IEEE - Inst Electrical Electronics Engineers Inc de_DE
dc.relation.uri http://dx.doi.org/10.1109/TCAD.2020.3012320
dc.subject.ddc 004 de_DE
dc.subject.ddc 600 de_DE
dc.title UltraTrail: A Configurable Ultralow-Power TC-ResNet AI Accelerator for Efficient Keyword Spotting de_DE
dc.type Artikel de_DE
utue.quellen.id 20210304112512_00864
utue.publikation.seiten 4240-4251 de_DE
utue.personen.roh Bernardo, Paul Palomero
utue.personen.roh Gerum, Christoph
utue.personen.roh Frischknecht, Adrian
utue.personen.roh Lubeck, Konstantin
utue.personen.roh Bringmann, Oliver
dcterms.isPartOf.ZSTitelID IEEE Transactions on Computer - Aided Design of Integrated Circuits and Systems de_DE
dcterms.isPartOf.ZS-Issue 11 de_DE
dcterms.isPartOf.ZS-Volume 39 de_DE
utue.fakultaet 07 Mathematisch-Naturwissenschaftliche Fakultät


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record