Special Issue "Deep Vision Architectures and Algorithms for Edge AI Computing"

Submission Deadline: 31 January 2022
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Guest Editors
Prof. Byung-Gyu Kim, Sookmyung Women's University, Korea.
Prof. Partha Pratim Roy, Indian Institute of Technology, India.
Prof. Naveen Chilamkurti, La Trobe University, Australia.


Edge Computing and Artificial Intelligence (AI) are considered to be disruptive technologies. Edge Computing and IoT connect the physical world to the Internet, generating a large amount of valuable data about its processes. AI provides a series of data mining and analytics methods which can be implemented in systems, resulting in data-driven architectures which facilitate the decision-making process. Especially, visual data-based AI technology is the most important one to provide very personalized in the edge devices and platform.

As the computing performance of edge devices improves, various vision data-based artificial intelligence technologies are being applied, and service construction through interworking with cloud is accelerating. As a result, both technologies are being integrated by information technology, communication, security, and data science, and they are designed for the vertical market, offering solutions specific to business, finance, manufacturing, smart city IT infrastructure planning, smart city modelling, security, energy consumption efficiency in the Edge AI environment.

The goal of this special issue is to invite academics and industry experts to contribute to the development of Edge AI platform and smart cities based on visual data. We accept the original researches and some applications that involve the use of high-performance computing and that focus on the problems involved in applying Edge IoT to Ambient Intelligence and Human-centric Computing. This issue welcomes the security as well as the mobility and pervasiveness of IoT in daily human processes and environments.

Edge IoT, AI, Deep vision, Edge AI, Vision data, Pervasive environment, Deep learning, Smart cities