Contribute to the development of industry-relevant research topics, to comply with customer and legal requirements
Actions for Excellence in Smart Cyber-Physical Systems applications through the exploitation of Big Data methodologies and techniques
Environmental dynamism in enterprises, high degree of fault-tolerance and unconditional system responsivity
Short description: Combining Human Expertise and Machine Learning for Intelligent Transportation Resource Management
Place: Edinburgh, UK
Date: 17-21 September 2016
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 691829.
Institute for Computer Science and Control, Hungarian Academy of Sciences
Fraunhofer-Gesellschaft zur Förderung der Angewandten Forschung e.V. (FhG) - Institute for Applied Information Technology FIT
Aston University
KU Leuven
