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Real-Time IoT Imaging with Deep Neural Networks: Using Java on the Raspberry Pi 4
Autor principal: | |
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Lenguaje: | eng |
Publicado: |
Apress
2020
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2740215 |
_version_ | 1780968301068812288 |
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author | Modrzyk, Nicolas |
author_facet | Modrzyk, Nicolas |
author_sort | Modrzyk, Nicolas |
collection | CERN |
id | cern-2740215 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2020 |
publisher | Apress |
record_format | invenio |
spelling | cern-27402152021-04-21T16:45:57Zhttp://cds.cern.ch/record/2740215engModrzyk, NicolasReal-Time IoT Imaging with Deep Neural Networks: Using Java on the Raspberry Pi 4XXApressoai:cds.cern.ch:27402152020 |
spellingShingle | XX Modrzyk, Nicolas Real-Time IoT Imaging with Deep Neural Networks: Using Java on the Raspberry Pi 4 |
title | Real-Time IoT Imaging with Deep Neural Networks: Using Java on the Raspberry Pi 4 |
title_full | Real-Time IoT Imaging with Deep Neural Networks: Using Java on the Raspberry Pi 4 |
title_fullStr | Real-Time IoT Imaging with Deep Neural Networks: Using Java on the Raspberry Pi 4 |
title_full_unstemmed | Real-Time IoT Imaging with Deep Neural Networks: Using Java on the Raspberry Pi 4 |
title_short | Real-Time IoT Imaging with Deep Neural Networks: Using Java on the Raspberry Pi 4 |
title_sort | real-time iot imaging with deep neural networks: using java on the raspberry pi 4 |
topic | XX |
url | http://cds.cern.ch/record/2740215 |
work_keys_str_mv | AT modrzyknicolas realtimeiotimagingwithdeepneuralnetworksusingjavaontheraspberrypi4 |