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首页|期刊导航|电子科技学刊|Hybrid big data optimization based energy-efficient and AI-powered green architecture toward smart cities and 5G-IoT applications

Hybrid big data optimization based energy-efficient and AI-powered green architecture toward smart cities and 5G-IoT applications

Ihab Nassra Juan V.Capella

电子科技学刊2025,Vol.23Issue(4):32-45,14.
电子科技学刊2025,Vol.23Issue(4):32-45,14.DOI:10.1016/j.jnlest.2025.100328

Hybrid big data optimization based energy-efficient and AI-powered green architecture toward smart cities and 5G-IoT applications

Hybrid big data optimization based energy-efficient and AI-powered green architecture toward smart cities and 5G-IoT applications

Ihab Nassra 1Juan V.Capella1

作者信息

  • 1. Department of Information and Communication Technologies,Polytechnic University of Valencia,Valencia,46022,Spain
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摘要

关键词

Big data/Compression ratio/Energy-efficient/Internet of things/Mobile cloud computing/Smart cities

Key words

Big data/Compression ratio/Energy-efficient/Internet of things/Mobile cloud computing/Smart cities

引用本文复制引用

Ihab Nassra,Juan V.Capella..Hybrid big data optimization based energy-efficient and AI-powered green architecture toward smart cities and 5G-IoT applications[J].电子科技学刊,2025,23(4):32-45,14.

电子科技学刊

1674-862X

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