Accident reduction through a privacy-preserving method on top of a novel ontology for autonomous vehicles with the support of modular arithmetic-Reference-Cited by-同舟云学术

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Accident reduction through a privacy-preserving method on top of a novel ontology for autonomous vehicles with the support of modular arithmetic

Published:2024-04 Issue: Volume:46 Page:100732
ISSN:2214-2096
Container-title:Vehicular Communications
language:en
Short-container-title:Vehicular Communications

Author:

Gheisari Mehdi,Karamoozian Aminreza,Gao Jiechao,Abdalla Hemn Barzan,Ansari Shuja,Khan Riaz Ullah,Fang Zhaoxi

Funder

Islamic Azad University

Natural Science Foundation of Zhejiang Province

Publisher

Elsevier BV

Reference71 articles.

1. Differential privacy for industrial internet of things: opportunities, applications and challenges;Jiang;IEEe Internet. Things. J.,2021

2. Task failure prediction in cloud data centers using deep learning;Gao;IEEE Trans. Serv. Comput.,2020

3. Smart cities: foundations, principles, and Applications;Song,2017

4. Exploring data validity in transportation systems for smart cities;Liu;IEEE Commun. Mag.,2017

5. Smartly handling renewable energy instability in supporting a cloud datacenter;Gao,2020

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1. Analysis of mechanical properties in self‐compacting concrete enhanced with steel fibres;Micro & Nano Letters;2024-06-25

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