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Introduction.-Development of innovative enterprise architecture for internet of things
Enterprise IoT modeling: supervised, unsupervised and reinforcement learning
Internet of things evolutionary computation, Enterprise modeling and simulation
Development of new IoT technologies for business intelligence and large-scale enterprise analysis
Uncertainty modeling in big data analytics for IoT
Providing solutions to pressing problems across areas including connected and autonomous vehicles, automation, healthcare, and enterprise security using Internet of things
The management of enterprise in mobile transparent computing for internet of things
Bridge developments in Artificial Intelligence to real enterprise applications in collaboration with IoT partners
New generation of scientists to address the skills shortage in these areas and increase competitiveness
Applications and services for enterprise systems such as Complex systems, multi-agent systems, game theory and statistics
Advanced future perspective in enterprise for internet of things
Conclusion.

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