International Journal of Space-Based and Situated Computing (IJSSC)
Space-based and situated computing extends the pervasive computing vision of everyday objects communicating and collaborating to provide intelligent and context-aware information and services to users in larger geographical spaces. The ultimate goal is to build context-aware global smart space and location-based service applications that integrate information from independent systems (such as sensor, actuator or mobile information systems), which autonomously and securely support human activities. IJSSC provides a fully refereed international forum for publishing latest research in space-based and situated computing.
Submission Link: https://www.inderscience.com/mobile/journal/insubmithere.php?jcode=ijssc
Special Issue on AI-based Situated Services for Smart Cities
Submission Deadline: 30 April 2021
Important Note: Please input conference name "AIOTT 2021" when you enter the Step E. Notes for Editor during submission.
Aim & Scope
International Journal of Space-Based and Situated Computing (IJSSC) is soliciting papers for the special issue on AI-based situated services for smart cities. The recent rise of advanced artificial intelligence technologies have reshaped many different areas of human life, involving sectors such as health, transportation, energy, business, and etc. This has flourished the development of smart cities, where smart services are provided in situ based on users’ context, e.g., location-based services. To date, the efforts in the study of AI-based situated services have been continuously increasing, but many problems remain to be studied. The primary purpose of this special issue is to showcase the latest achievements of theory and practice related to the AI-based situated services for smart cities, aiming to inspire further research in the field.
The areas of interests include, but are not limited to:
- Novel AI models for situated services in smart cities;
- Machine learning for situated services in smart cities;
- IoT systems for smart cities;
- Network Communication for smart cities;
- Sensing technologies;
- Big data processing in smart cities;
- Service management in smart cities;
- Novel network architecture for situated services;
- Security and privacy in smart cities;
- Case studies and experience of smart cities services;
- Collaborative learning;
- Applications of smart cities.
Prof. Dr. Chengwen Luo, Shenzhen University, China
Prof. Dr. Weitao Xu, City University of Hong Kong, Hong Kong, China
Prof. Dr. Feng Li, Shandong University, China