CityFlow: Supporting Spatial-Temporal Edge Computing for Urban Machine Learning Applications
(2019)
Presentation / Conference Contribution
Kawano, M., Yonezawa, T., Tanimura, T., Giang, N. K., Broadbent, M., Lea, R., & Nakazawa, J. (2018, November). CityFlow: Supporting Spatial-Temporal Edge Computing for Urban Machine Learning Applications. Presented at EAI International Conference on IoT in Urban Space, Guimarães, Portugal
A growing trend in smart cities is the use of machine learning techniques to gather city data, formulate learning tasks and models, and use these to develop solutions to city problems. However, although these processes are sufficient for theoretical... Read More about CityFlow: Supporting Spatial-Temporal Edge Computing for Urban Machine Learning Applications.