Special Issue "Edge Computing and Deep Learning for Smart IoT Systems"
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 10 June 2023 | Viewed by 1653
Special Issue Editors
Interests: cloud computing; intelligent transport systems; software engineering
Interests: deep learning; big data analysis; software security
Interests: AI for software engineering; software engineering for AI; internet of things
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Smart Internet of Things (IoT) systems are playing a significant role in our society for enabling smart home, smart logistics, smart manufacturing, smart health, smart agriculture, among others. Nowadays, the integration of edge computing with artificial intelligence, particularly deep learning, has become the backbone for smart IoT systems. On one hand, edge computing, as compared with centralised cloud computing, has unique features, such as the physical proximity to the end devices and users, which bring many benefits, such as low latency, energy efficiency, privacy protection, reduced bandwidth consumption, on-premises, and context awareness. On the other hand, deep learning has consistently shown high capabilities in reasoning and analysis, and, thus, widely used in various domains, such as computer vision and image classification. In this Special Issue, we encourage submission of papers that describe original, high-quality, empirically and/or theoretically validated work in the application, implementation and evaluation of edge computing and deep learning for the development, deployment and maintenance of smart IoT systems.
Dr. Huai Liu
Dr. Bo Yang
Dr. Rubing Huang
Guest Editors
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.
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Keywords
- smart systems
- Internet of Things
- edge computing
- deep learning
- IoT architecture design
- smart system development
- edge deployment solution
- quality of edge services