About this book series
The ubiquitous sensing, multi-modality data, and various computing platforms enable rapid, personalized, dedicated services for our communities. The global perspectives on the distributed intelligence showcase cutting-edge research that embraces a number of fields from system design to deployment and from data acquisition to analysis in cross-disciplinary areas that require discovery of valuable information from dynamic, massive, diversified data. The research to be included in this series focuses on the pressing, contemporary aspects of the decentralized, computational intelligence techniques for geotechnology applications including environment, resource management, transportation, health, robotics and autonomous vehicles, and security, to name a few.
The series "Studies in Distributed Intelligence" publishes new developments and advances in the areas of distributed intelligence and covers the theories, methods, and applications of distributed intelligence, as embedded in the fields of engineering and computer science as well as the cross-disciplinary fields. The series contains monographs, lecture notes, and edited volumes in distributed intelligence spanning the areas of environmental sensors, big geoscience data analysis, smart sensing networks, distributed systems, edge computing, supercomputing for climate problems, artificial intelligence in environmental monitoring, urban intelligence, self-organizing systems, intelligent transportation systems, soft computing, smart vehicular communication, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the worldwide distribution, which enable both wide and rapid dissemination of the research outputs.
If you
are interested in contributing to the series, please contact the Publisher: Aaron
Schiller [Aaron.Schiller@springer.com].
- Electronic ISSN
- 2662-3714
- Print ISSN
- 2662-3706
- Series Editor
-
- Mohamed Elhoseny,
- Xiaohui Yuan
