MbedML: A Machine Learning Project for Embedded Systems
- Autores
- Estrebou, César Armando; Fleming, Martín; Saavedra, Marcos David; Adra, Federico
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- This article describes the tasks being carried out within the framework of a research and development project on machine learning techniques and algorithms applied to small devices. It includes a brief review of the available technologies, online development platforms, work methodology and open source software for the implementation of solutions. Experiments carried out on a proper implementation of an inference algorithm for convolutional neural networks are also presented with interesting preliminary results regarding existing implementations.
Facultad de Informática - Materia
-
Ciencias Informáticas
Machine learning
Embedded Systems
Internet of Things
Convolutional Neural Networks - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/125142
Ver los metadatos del registro completo
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MbedML: A Machine Learning Project for Embedded SystemsEstrebou, César ArmandoFleming, MartínSaavedra, Marcos DavidAdra, FedericoCiencias InformáticasMachine learningEmbedded SystemsInternet of ThingsConvolutional Neural NetworksThis article describes the tasks being carried out within the framework of a research and development project on machine learning techniques and algorithms applied to small devices. It includes a brief review of the available technologies, online development platforms, work methodology and open source software for the implementation of solutions. Experiments carried out on a proper implementation of an inference algorithm for convolutional neural networks are also presented with interesting preliminary results regarding existing implementations.Facultad de Informática2021info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf25-28http://sedici.unlp.edu.ar/handle/10915/125142enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-2016-4info:eu-repo/semantics/reference/hdl/10915/121564info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:22:01Zoai:sedici.unlp.edu.ar:10915/125142Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:22:01.312SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
MbedML: A Machine Learning Project for Embedded Systems |
title |
MbedML: A Machine Learning Project for Embedded Systems |
spellingShingle |
MbedML: A Machine Learning Project for Embedded Systems Estrebou, César Armando Ciencias Informáticas Machine learning Embedded Systems Internet of Things Convolutional Neural Networks |
title_short |
MbedML: A Machine Learning Project for Embedded Systems |
title_full |
MbedML: A Machine Learning Project for Embedded Systems |
title_fullStr |
MbedML: A Machine Learning Project for Embedded Systems |
title_full_unstemmed |
MbedML: A Machine Learning Project for Embedded Systems |
title_sort |
MbedML: A Machine Learning Project for Embedded Systems |
dc.creator.none.fl_str_mv |
Estrebou, César Armando Fleming, Martín Saavedra, Marcos David Adra, Federico |
author |
Estrebou, César Armando |
author_facet |
Estrebou, César Armando Fleming, Martín Saavedra, Marcos David Adra, Federico |
author_role |
author |
author2 |
Fleming, Martín Saavedra, Marcos David Adra, Federico |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Machine learning Embedded Systems Internet of Things Convolutional Neural Networks |
topic |
Ciencias Informáticas Machine learning Embedded Systems Internet of Things Convolutional Neural Networks |
dc.description.none.fl_txt_mv |
This article describes the tasks being carried out within the framework of a research and development project on machine learning techniques and algorithms applied to small devices. It includes a brief review of the available technologies, online development platforms, work methodology and open source software for the implementation of solutions. Experiments carried out on a proper implementation of an inference algorithm for convolutional neural networks are also presented with interesting preliminary results regarding existing implementations. Facultad de Informática |
description |
This article describes the tasks being carried out within the framework of a research and development project on machine learning techniques and algorithms applied to small devices. It includes a brief review of the available technologies, online development platforms, work methodology and open source software for the implementation of solutions. Experiments carried out on a proper implementation of an inference algorithm for convolutional neural networks are also presented with interesting preliminary results regarding existing implementations. |
publishDate |
2021 |
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2021 |
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info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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conferenceObject |
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http://sedici.unlp.edu.ar/handle/10915/125142 |
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dc.language.none.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/altIdentifier/isbn/978-950-34-2016-4 info:eu-repo/semantics/reference/hdl/10915/121564 |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf 25-28 |
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