Earth Science with NextDBSCAN, NextSVM and Deep Learning

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dc.contributor.authorErlingsson, Ernir
dc.contributor.authorNeukirchen, Helmut
dc.contributor.authorRiedel, Morris
dc.contributor.authorKreuzer,, Anke
dc.contributor.authorSuarez, Estela
dc.contributor.authorEicker, Norbert
dc.contributor.authorLippert, Thomas
dc.contributor.departmentFaculty of Industrial Engineering, Mechanical Engineering and Computer Science
dc.date.accessioned2025-11-20T08:11:40Z
dc.date.available2025-11-20T08:11:40Z
dc.date.issued2022-01-22
dc.description.versionNon peer revieweden
dc.format.extent22
dc.format.extent27841798
dc.format.extent145-166
dc.identifier.citationErlingsson, E, Neukirchen, H & Riedel, M 2022, Earth Science with NextDBSCAN, NextSVM and Deep Learning. in A Kreuzer, E Suarez, N Eicker & T Lippert (eds), Porting applications to a Modular Supercomputer : Experiences from the DEEP-EST project. Schriften des Forschungszentrums Jülich IAS Series edn, vol. 48, Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Jülich, pp. 145-166.en
dc.identifier.isbn978-3-95806-590-1
dc.identifier.other82657779
dc.identifier.other8db7db4b-27b4-4cc2-9fe1-b0f8c93aeea2
dc.identifier.urihttps://hdl.handle.net/20.500.11815/6143
dc.language.isoen
dc.publisherForschungszentrum Jülich GmbH Zentralbibliothek, Verlag
dc.relation.ispartofseriesPorting applications to a Modular Supercomputer; 48(Schriften des Forschungszentrums Jülich IAS Series)en
dc.relation.urlhttp://hdl.handle.net/2128/30498en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subject754304en
dc.titleEarth Science with NextDBSCAN, NextSVM and Deep Learningen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontobookanthology/chapteren

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