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TAPM for Smart Cities 2020 : Technological Advancement and Pioneering Methods for Smart Cities - Recent Advances and Future Trends
TAPM for Smart Cities 2020 : Technological Advancement and Pioneering Methods for Smart Cities - Recent Advances and Future Trends

TAPM for Smart Cities 2020 : Technological Advancement and Pioneering Methods for Smart Cities - Recent Advances and Future Trends

Submission Deadline: September 30, 2020
Notification of Acceptance: December 15, 2020
Camera Ready Version Due: February 28, 2021




About

Smart cities of the future must aim to accommodate increasing urban populations and their prospects of contemporary living, integrated societies, knowledge-based workforce, factory automation, gig economies, virtual-real social behaviors, etc. This complex concoction of challenges requires technological advancement and methods including Artificial Intelligence (AI), Big Data (BD), and Blockchain (BC) techniques for more efficiency and sustainability of smart cities. AI, BD, and BC are gaining significant attention in solving many real-life problems. They have been applied in clustering, control, design, image processing, information processing & retrieval, knowledge representation & reasoning, marketing, medical diagnosis, optimization, pattern classification, production planning & scheduling, quality control, etc.
This special issue focuses on the role of technological advancement in smart cities and provides a unique opportunity for disseminating to the research community recent relevant and impactful research on applications, practice, and methodologies of AI, BD, and BC techniques for smart sensing and data mining, big data analytics, cloud computing, and high-performance computing. We sincerely invite scholars worldwide to submit original and high-quality papers to this special issue. 
This special issue provides an excellent opportunity for contributors to share research results and experiences with the aim of enhancing the understanding of effective AI, Big Data, Blockchain, and soft computing techniques to strengthen scientific cooperation in this important area. We are particularly interested in new methods for technological advancement and pioneering methods, as well as recommendations in the context of government, information organizations, educational institutes, and society. We welcome any unpublished and high-quality papers with real-world examples, solutions, recommendations, and case studies. 


Call for Papers

We welcome authors to present new techniques, methodologies, mixed-method approaches, and research directions to tackle unsolved industrial-based and society-based issues. Topics of interest include, but are not limited to:
•    Intelligent context-aware applications, hybrid systems, including intelligent knowledge-based systems, and intelligent decision-support systems
•    Knowledge representation and management
•    Internet informatics and cloud-based Internet of Things (IoT) applications
•    IoT-based AI techniques, deep learning, and machine learning for smart cities 
•    AI, Big Data, IoT, and Blockchain for social computing and networks
•    AI, Big Data, IoT, and Blockchain for libraries and other information organizations
•    Libraries, other information organizations, NGO, and governments in the context of smart cities
•    Fault tolerance, reliability, sustainability, and survivability in intelligent systems for smart cities
•    Safety, security, risk, and privacy management and measurement for smart cities
•    Intelligent systems, services, and system modelling for smart cities
•    Impacts, recommendations, best practice, government policies, ethics, and legal challenges for smart cities
•    Cloud/Edge/Green Computing and its adoption for smart cities
•    Design and development of smart city solutions
•    Sustainable Information Systems for smart cities
•    Applications, education, and implications of all the above topics in smart cities, infrastructure and construction, and case studies.



Credits and Sources

[1] TAPM for Smart Cities 2020 : Technological Advancement and Pioneering Methods for Smart Cities - Recent Advances and Future Trends


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