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Hybrid imaging and visualization: employing machine learning with Mathematica - Python

Detalles Bibliográficos
Autores principales: Awange, Joseph, Palancz, Bela, Völgyesi, Lajos
Lenguaje:eng
Publicado: Springer 2020
Materias:
Acceso en línea:http://cds.cern.ch/record/2723459
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author Awange, Joseph
Palancz, Bela
Völgyesi, Lajos
author_facet Awange, Joseph
Palancz, Bela
Völgyesi, Lajos
author_sort Awange, Joseph
collection CERN
id cern-2723459
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
publisher Springer
record_format invenio
spelling cern-27234592021-04-21T18:07:31Zhttp://cds.cern.ch/record/2723459engAwange, JosephPalancz, BelaVölgyesi, LajosHybrid imaging and visualization: employing machine learning with Mathematica - PythonComputing and ComputersSpringeroai:cds.cern.ch:27234592020
spellingShingle Computing and Computers
Awange, Joseph
Palancz, Bela
Völgyesi, Lajos
Hybrid imaging and visualization: employing machine learning with Mathematica - Python
title Hybrid imaging and visualization: employing machine learning with Mathematica - Python
title_full Hybrid imaging and visualization: employing machine learning with Mathematica - Python
title_fullStr Hybrid imaging and visualization: employing machine learning with Mathematica - Python
title_full_unstemmed Hybrid imaging and visualization: employing machine learning with Mathematica - Python
title_short Hybrid imaging and visualization: employing machine learning with Mathematica - Python
title_sort hybrid imaging and visualization: employing machine learning with mathematica - python
topic Computing and Computers
url http://cds.cern.ch/record/2723459
work_keys_str_mv AT awangejoseph hybridimagingandvisualizationemployingmachinelearningwithmathematicapython
AT palanczbela hybridimagingandvisualizationemployingmachinelearningwithmathematicapython
AT volgyesilajos hybridimagingandvisualizationemployingmachinelearningwithmathematicapython