Advanced Applications of Computer Science and AI in Smart Cities and Societies
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: closed (30 May 2021) | Viewed by 8110
Special Issue Editors
Interests: smart grids; energy management; power systems; demand response
Special Issues, Collections and Topics in MDPI journals
Interests: smart grids; power system control; power system dynamics and stability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We would like to invite submissions to a Special Issue of Applied Sciences on new paradigms in smart cities and societies entitled “Advanced Applications of Computer Science and AI in Smart Cities and Societies”. The penetration of data in the world is significantly increasing due to the need to apply different devices and applications to human activities in modern life. In order to effectively manage and control daily activities, such data should be considered appropriately in decision-making procedures to find optimum solutions. To achieve these purposes, computer science is used to help modern society in all aspects of building smart cities. Actually, implementing computer science applications in human societies is at the heart of modern smart cities, in which any disturbance might lead to unsuitable consequences, abnormal situations, security issues, and even disorder and chaos. In order to cope with ever-increasing data, complexity, and security in modern smart cities, new architectures, concepts, algorithms, and procedures are essential. This Special Issue aims to encourage researchers to address the technical issues and research gaps in applying computer science applications in smart cities to improve daily life in human societies. The topics of interest of this Special Issue include, but are not limited to:
- Smart grids protection and security;
- Smart grids stability;
- Data-mining approaches in smart cities;
- Issues in data analytics;
- Advanced teaching using computer technologies;
- Modern banking based on data analysis;
- Machine learning applications in smart city hospitals;
- Technical issues in learning algorithms;
- Advances in optimization methods;
- Data-mining architecture;
- Artificial intelligence applications to improve smart city performance;
- New paradigms for electricity infrastructures in smart cities;
- Systems concepts;
- Methodologies and applications of modern methods for image processing and pattern recognition;
- New trends in communication links and data transfer;
- Design, modeling, and management of networks;
- Developing heuristic optimization algorithms;
- New approaches in managing smart cities based on data analytics approach;
- Communication issues in smart cities;
- Monitoring, control, operation, stability, and security in smart cities;
- Optimization of losses in sensor, electricity, and communication networks;
- Managing water distribution in smart cities;
- Modern electrical transportations, electrical vehicles, smart navigations, and map routing in modern smart cities;
- Data-mining approaches in modern societies;
- Cloud computing.
Prof. Dr. Pierluigi Siano
Dr. Hassan Haes Alhelou
Guest Editors
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