2-3 March 2023
On the verge of a new era of globalized digital transformation, people are increasingly connected to their surroundings through rapidly changing smart technologies. As population grows and cities attract more and more people, smart cities are emerging globally, addressing the need for sustainable urban development.
The concept of smart city is understood as the specific use of advanced information and communication technologies to achieve sustainable, social, ecological and economic development of urban spaces. Smart cities focus on the acquisition, processing and use of information to improve existing urban processes. The collection and analysis of urban (real-time) data and the coordination of data use with Internet and web services opens up new possibilities for improving economic, social, natural and infrastructure resource efficiency and quality of life. With the introduction of smartphones, cloud computing and edge computing, the processing, storage and lightweight analysis capabilities of IoT and smart cities have been greatly improved.
The number of devices in a smart city is constantly changing. Therefore, the development of smart devices often leads to compatibility and security issues. To address this challenge and ensure smooth connectivity between smart devices, artificial intelligence and deep learning approaches can be employed to improve the management and coordination of device data and network models. In recent years, deep learning methods have emerged as powerful computational models with great success in processing large amounts of data in unsupervised settings. Deep learning and artificial intelligence (AI) methods are reshaping the field as they provide an efficient way to learn representations and allow systems to automatically learn features from data without explicit design. Wearable devices, cloud computing, and data analytics, among other emerging Internet of Things (IoT) technologies, have the potential to acquire and process massive amounts of data from the physical world.
To take advantage of the IoT and AI ecosystem, its systems, networks and structures need to be overhauled. However, smart cities have several problems with data transmission, storage and processing, analysis and network management. Therefore, extensive research is needed to identify and overcome service quality and cost-effectiveness constraints in smart cities. List of potential topics includes (but is not limited to):
This special issue will be published in the International Journal of Advanced Computer Science and Applications which publishes carefully peer-reviewed research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience.
The journal is accepting submissions for the Special Issue on AI-Driven Internet Technologies for Sustainable and Smart Cities. You may submit your research/review/survey papers as per the following schedule:
Zhenling Liu currently works at the School of Management, Henan University of Technology, Winona State University in US. Zhenling does research in Energy Economics, Business Administration and biomass. He has been the guest editors for 10+ special issues and served as peer reviewer for more than 30 different journals. He has 2 books published (One in Chinese, another is Proceedings). He has been a keynote speaker at international conferences 5 times. He is the Editor in Chief for international Journal: Adv. Indus. Eng. Manage. He is the CEO and Publishing Director of IAMSET (Inter’l Asso. Management Sci. and Eng. Tech.) (www.iamset.org). IAMSET is an non-profit organization, dedicate to developing academic research exchange.
Mohsen Guizani is currently a professor with the Computer Science and Engineering Department, Qatar University. He has authored nine books and more than 800 publications. His research interests include wireless communications and mobile computing, applied machine learning, cloud computing, security, and its application to healthcare systems. He has won several research awards, including the 2015 IEEE Communications Society Best Survey Paper Award as well four best paper awards from IEEE ICC and GLOBECOM conferences. He is also the recipient of the 2017 IEEE Communications Society Wireless Technical Committee Recognition Award, the 2018 AdHoc Technical Committee Recognition Award, and the 2019 IEEE Communications and Information Security Technical Recognition Award. He was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2019 and 2020.
Authors are kindly invited to submit their formatted full papers including research results, tables, figures and references.
All paper submissions will be evaluated based on originality, research content, correctness, relevance to conference and readability. Please read complete submission and formatting guidelines at http://thesai.org/Publications/Guidelines.
Please submit your paper via email to the Editor Prof. Zhenling Liu (firstname.lastname@example.org)
All articles published by IJACSA are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers.
Authors of articles published in IJACSA are the copyright holders of their articles and have granted to any third party, in advance and in perpetuity, the right to use, reproduce or disseminate the article.
Open access publishing is not without costs. IJACSA is a gold open access journal and to manage the various costs associated with the Journal management, for all accepted papers in this special issue there is an Article Processing Fee.
All submitted articles are subject to a double-blind peer review process i.e. the identity of the authors is concealed from the reviewers, and vice versa, with an aim to eliminate bias reviews. Articles are peer reviewed by two or three independent reviewers. Acceptance is granted when reviewers' recommendations are positive.