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Experiments are conducted to validate and support the developed system for real-time air quality monitoring and warning.
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The developed system supports using MLP, LVQ and SOM models and related learning algorithms.
While the developed system supports both types of stimulations (afferent or efferent), the stimulation profile is another open research variable to be explored.
A main objective of the developed system is to support the engineering and optimization phases to develop and maintain eco-efficient production systems.
The application result showed that the developed system was useful to support a design of the integrated provision of products and services.
Fourteen users with CP participated in a supporting online study and helped to evaluate the performance of the developed system.
This fact supports the notion of accuracy of the automated assessment accomplished with the developed system.
The developed system presents a solution for integrating lighting simulation with interactive visualization to support lighting design.
Therefore, the developed system differs from conventional product cost estimating systems, in that it is structured to support concurrent engineering.
The developed system holds a novel way of smarter integration of sensor fueled data analytics with cloud supported visualization at the same time.
The developed system is tested and analyzed.
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