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vls/2603noah-balancer_mdapi1elekpub.bib.uni-wuppertal.devdImproving Artificial Intelligence performance through architectural and procedural a-prioria case-study of optimising neural architectures for automotive applicationsFreeman, Ido1990-VerfasserautKummert, Anton1959-Akademischer BetreuerdgsMöller, ReinhardAkademischer BetreuerdgsBergische Universität WuppertalGrad-verleihende InstitutiondggtextthesisTextHochschulschriftthesisdoctoralThesisgwXA-DEWuppertalFeb. 20222022single unitengelectronic resourceremotetext/htmltext/html1 Online-Ressource ( ix, 142 Seiten) : Illustrationen, DiagrammeComputerOnline-Ressourcevon M.Sc. Ido FreemanTag der Verteidigung: 09.12.2022Bergische Universität Wuppertal, Dissertation, 2022Wuppertal600urn:nbn:de:hbz:468-2-95410.25926/BUW/0-9599372484074506441Improving Artificial Intelligence performance through architectural and procedural a-prioriFreeman, Ido, 1990-Druck-AusgabeHT021732186http://dx.doi.org/10.25926/BUW/0-95https://nbn-resolving.org/urn:nbn:de:hbz:468-2-954Open AccessRS INC 1.02022-12-09oaDoctoralThesispublicrda23053120251111100818.0CT009000110s2w-hsswupubwgerUBW:E:E.01 https://elekpub.bib.uni-wuppertal.de//domainresource/static/graphics/connectors/viewerLogo.gifWuppertal : Bergische Universität Wuppertalreserved https://ub-wuppertal.digibib.net/search/katalog/record/(DE-605)urn%3Anbn%3Ade%3Ahbz%3A468-2-954 https://elekpub.bib.uni-wuppertal.de/id/7142490 https://elekpub.bib.uni-wuppertal.de/i3f/v20/7142490/manifest https://elekpub.bib.uni-wuppertal.de/proto_ftsearch/7142490