Aims and Scope

ETRI Journal provides an international, multidisciplinary forum for the exchange of innovative ideas and technology in the fields of information, telecommunications, and electronics. It is published bimonthly in English. The main focus of the journal is to provide an open forum to exchange innovative ideas and technology in the fields of information, telecommunications, and electronics.

Key topics of interest include high-performance computing, multimedia technology, communication networks and services, wireless communications and mobile computing, material and component technology, as well as security.

With an international editorial committee and experts from around the world as reviewers, ETRI Journal publishes high-quality research papers on the latest and best developments from the global community.

Diversity, Equity, and Inclusion Policy

ETRI Journal and the Electronics and Telecommunications Research Institute are committed to diversity, equity and inclusion. We seek to work with scholars from a range of institutional affiliations, nationalities, and career stages. The editorial team recognises and encourage submissions from scholars from groups who are under-represented in research. We are committed to increasing diversity and inclusion in research and publishing from applicants of all ethnicities, races, religions, sexes, sexual orientations, gender identities, national origins, disabilities, ages, or other individual status.

Special Issue on Smart City Technologies and Services Based on Artificial Intelligence for Digital Twin Applications
Submission Date: 2025-01-10

The rapid growth of smart cities presents opportunities and challenges. In 2022, the ETRI journal organized a
special issue on smart cities and their applications with a focus on the incorporation of high-level intelligence
into urban environments and the exploration of its potential economic impact on associated industrial chains.
Although the data collected from sensors offer invaluable insights, managing and extracting actionable
intelligence from vast datasets remains a complex task. The convergence of artificial intelligence (AI) and digital
twins has emerged as a promising solution to address the current challenges and unlock the full potential of
smart city development.

AI technologies allow the integration and analysis of diverse data sources, enabling efficient storage, security,
and knowledge extraction. This can lead to enhanced operational efficiency, reduced energy consumption, and
overall sustainability in smart cities. It can also strengthen communication and security within smart cities,
supporting data-driven decision-making while preserving individual privacy.

Digital twins can be used to create virtual replicas of real-world cities, thereby enabling scenario simulations
and problem predictions. Automated feature extraction and accurate model construction can be achieved by
incorporating AI models for cost reduction, resource optimization, and improved maintenance strategies.
Additionally, digital twins can be integrated with metaverses to create immersive and interactive virtual spaces
for citizen engagement and the design of future cities.

This special issue seeks innovative research that explores the synergy between AI and digital twins to empower
smart and sustainable urban development. We encourage professionals from academia, industry, and the
government to submit original high-quality research papers for this special issue. The topics of interest include
(but are not limited) to the following:

 Real-time data analytics for traffic management, energy efficiency, and public safety
 Big-data management and cloud-computing solutions for smart cities
 Machine learning for anomaly detection and predictive maintenance of urban infrastructures
 Data privacy and security in smart-city data management
 AI-powered communication networks for smart city infrastructure (5G and Internet of Things)
 AI-based threat-detection and incident-response systems
 Smart traffic management systems using AI and machine learning
 Public safety applications using AI-powered video analytics
 Privacy-preserving data aggregation and anonymization techniques
 Blockchain for secure and transparent data sharing in smart cities
 Development of digital twins with a focus on city infrastructure and assets for simulation and
optimization
 AI and machine learning to create realistic and dynamic digital twins
 Machine learning for urban mobility modeling and traffic prediction
 Social network analysis to understand citizen behavior and sentiments
 AI for energy demand forecasting and energy grid optimization
 Generative adversarial networks (GANs) for the creation of synthetic city data
 Deep reinforcement learning for optimizing resource allocation and decision-making in digital twins
 Transfer learning for adapting pretrained deep-learning models to specific smart city applications
 Explainable AI (XAI) techniques for the interpretation of the behavior of deep-learning models in
digital twins
 Applications of digital twins in urban planning, resource management, and disaster preparedness

Important Dates (tentative)
Paper submission: January 10, 2025
First decision: March 20, 2025
Final decision: May 20, 2025
Publication: August 20, 2025