Comprehensive Review on Development of Smart Cities Using Industry 4.0 Technologies-Reference-Cited by-同舟云学术

Comprehensive Review on Development of Smart Cities Using Industry 4.0 Technologies

Published:2023 Issue: Volume:11 Page:91981-92030
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Talebkhah Marieh¹^ORCID,Sali Aduwati¹^ORCID,Gordan Meisam²,Hashim Shaiful Jahari³^ORCID,Rokhani Fakhrul Zaman³^ORCID

Affiliation:

1. Department of Computer and Communication Systems Engineering, Faculty of Engineering, Wireless and Photonics Networks Research Centre of Excellence (WiPNET), Universiti Putra Malaysia, Seri Kembangan, Selangor, Malaysia

2. School of Civil Engineering, University College Dublin (UCD), Belfield, Ireland

3. Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), Seri Kembangan, Selangor, Malaysia

Funder

Projects EMOSEN-Energy Efficient MIMO-Based Wireless Transmission for SWIPT-Enabled Network

Geran Putra Berimpak BIDANET: Parametric Big Data Analytics Over Wireless Networks

IGNITE-Interference Modeling for 5G and FSS Coexistence at mmWave With Climate Change Considerations in the Tropical Region

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10209182.pdf?arnumber=10209182

Reference258 articles.

1. Towards Sustainable Smart City by Particulate Matter Prediction Using Urban Big Data, Excluding Expensive Air Pollution Infrastructures

2. Efficient scientific workflow scheduling for deadline-constrained parallel tasks in cloud computing environments

3. Systematic Review of the Literature on Big Data in the Transportation Domain: Concepts and Applications

4. A Study of Cloud Computing Adoption in Universities as a Guideline to Cloud Migration

5. The Rising Role of Big Data Analytics and IoT in Disaster Management: Recent Advances, Taxonomy and Prospects

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