A big data inspired preprocessing scheme for bandwidth use optimization in smart cities applications using Raspberry Pi-Reference-Cited by-同舟云学术

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A big data inspired preprocessing scheme for bandwidth use optimization in smart cities applications using Raspberry Pi

Published:2019-05-13 Issue: Volume: Page:
ISSN:
Container-title:Big Data: Learning, Analytics, and Applications
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Author:

Mohebali Behshad,Tahmassebi Amirhessam,Gandomi Amir H.,Meyer-Bäse Anke

Publisher

SPIE

Reference17 articles.

1. Internet of things based smart transportation systems;Sherly;International Research Journal of Engineering and Technology,2015

2. A survey on smart grid communication infrastructures: Motivations, requirements and challenges;Yan,2013

3. Cloud computing applications for smart grid: A survey;Bera,2015

4. The internet of things;Cui,2016

5. Rfid vehicle plate number (e-plate) for tracking and management system;Rahman,2013

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1. A learning automata based edge resource allocation approach for IoT-enabled smart cities;Digital Communications and Networks;2023-12

2. Transforming IoT Data Preprocessing;Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems;2022-11-06

3. The Impact of Distributed Data Preprocessing on Automotive Data Streams;2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall);2022-09

4. Design of Internet of Things (IoT) System Based Smart City Model on Raspberry Pi;IETE Journal of Research;2022-07-19

5. An Evolutionary Framework for Real-Time Fraudulent Credit Detection;2021 IEEE Congress on Evolutionary Computation (CEC);2021-06-28

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