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Augmenting massive IoT deployments with Machine Learning (ML) algorithms deployed at the edge enables design and implementation of a novel intelligent IoT ...
In this paper, we present an architectural outlook and an overview of our recent activities that target integration of. ML modules into the cellular IoT ...
An architectural outlook and an overview of the recent activities that target integration of ML modules into the cellular IoT architecture, which embeds ML ...
We discuss alignment of the proposed architecture with ongoing trends in 3GPP architecture evolution. We design, integrate and demonstrate edge ML use cases ...
This paper provides a comprehensive introduction to the _eld as well as an overview of important machine learning methods tackling both of these key challenges, ...
EDGE MACHINE LEARNING IN 3GPP NB-IoT: ARCHITECTURE, APPLICATIONS AND DEMONSTRATION. Authors, Dejan Vukobratovic, Milan Lukic, Ivan Mezei, Dragana Bajovic ...
Pronađeno: 1-3 / 3 radova ; Naslov, Edge Machine Learning in 3GPP NB-IoT: Architecture, Applications and Demonstration (Proceedings Paper) ; Autori, Vukobratovic ...
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In this work, a detailed review on models, architecture, and requirements on solutions that implement edge machine learning on Internet of Things devices is ...
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This paper proposes to integrate a DL-based anomaly detection (AD) as a service into the 3GPP mobile cellular IoT architecture, and designs, integrate, ...
In this work, a detailed review on models, architecture, and requirements on solutions that implement edge machine learning on Internet of Things devices is ...