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Special Issue "Symmetry in Artificial Intelligence and Edge Computing"
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer Science and Symmetry/Asymmetry".
Deadline for manuscript submissions: 30 April 2023 | Viewed by 3650
Special Issue Editor
Interests: social computing; IoT; machine learning; blockchain; edge computing; VANET
Special Issues, Collections and Topics in MDPI journals
Special Issue in Electronics: Advances in 5G Wireless Edge Computing
Special Issue in Symmetry: Selected Papers from The 2023 IEEE International Conference on Digital Twin (Digital Twin 2023)
Special Issue Information
The convergence of mobile edge computing (MEC) and artificial intelligence (AI) has contributed many opportunities and challenges to research and industries. Many IoT applications can rely on AI, specifically machine learning and deep learning models, to perform various edge computing tasks, such as task offloading, distributed caching and quality of service optimization, with the coupling of MEC and AI mitigating the drawbacks of traditional cloud computing models, taking full advantage of the unexploited computing resources available in edge devices.
Edge-enabled AI algorithms can be leveraged to identify the presence and level of symmetry in various interdisciplinary applications, for instance, in the execution of AI algorithms in edge devices for symmetry detection in virtual reality scenes being a promising application. This Special Issue titled “Symmetry in Artificial Intelligence and Edge Computing” will focus on AI applications in edge computing.
The potential research topics include, but are not limited to, the following areas:
- Edge-enable AI for symmetry/asymmetry applications;
- Deep learning application for task offloading in mobile edge computing;
- Distributed caching for mobile edge computing (MEC);
- Artificial intelligence-enabled fog and edge computing;
- Vehicular edge computing and vehicular cloud applications;
- Blockchain caching for fog and edge computing;
- Machine learning for quality of service (QoS) optimization in Internet of Things (IoT);
- Artificial intelligence for distributed social networks;
- Security and privacy in edge computing applications.
All papers submitted to the Special Issue will be thoroughly reviewed by at least two independent experts.
Submit your paper and select the Journal “Symmetry” and the Special Issue “Symmetry in Artificial Intelligence and Edge Computing” via: MDPI submission system. Our papers will be published on a rolling basis and we will be pleased to receive your submission once you have finished it.
Dr. Sahraou Dhelim
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- artificial intelligence
- edge computing
- fog computing
- deep learning
- cloud computing
- machine learning
- internet of things
- task offloading
- distributed caching