Machine learning in the Internet of Things: Designed techniques for smart cities

Author:

Din Ikram Ud,Guizani Mohsen,Rodrigues Joel J.P.C.,Hassan Suhaidi,Korotaev Valery V.

Funder

FCT — Fundação para a Ciência e a Tecnologia, Portugal

RNP, Brazil

Government of the Russian Federation

Brazilian National Council for Research and Development

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference156 articles.

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2. Low-powered wireless solutions have the potential to increase the m2m market by over 3 billion connections;Rebbeck;Analysys Mason,2014

3. Implementing lwm2m in constrained iot devices;Rao,2015

4. Highly efficient and accurate seizure prediction on constrained iot devices;Samie,2018

5. Machine intelligence on resource-constrained iot devices: The case of thread granularity optimization for cnn inference;Motamedi;ACM Trans. Embedded Comput. Syst. (TECS),2017

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