Advances in Intelligent Systems Research and Innovation

This book represents the experience of successful researchers from four continents on a broad range of intelligent systems, and it hints how to avoid anticipated conflicts and problems during multidisciplinary innovative research from Industry 4.0 and/or Internet of Things through modern machine learning, and software agent applications to open data science big data/advance analytics/visual analytics/text mining/web mining/knowledge discovery/deep data mining issues. The considered intelligent part is essential in most smart/control systems, cyber security, bioinformatics, virtual reality, robotics, mathematical modelling projects, and its significance rapidly increases in other technologies. Theoretical foundations of fuzzy sets, mathematical and non-classical logic also are rapidly developing.

Contenu
Balancing exploration and exploitation in forward model learning.- Multi-objective automatic clustering with gene rearrangement and cluster merging.- Implementation and experimental validation of the iec 63047 standard for data transfer in radiological and nuclear robotic applications.- Generalized net model for collecting, evaluating and including of facts in the educational content.- Embedded intelligence in a system for automatic test generation for smoothly digital transformation in higher education.- Simulation algorithms to assess the impact of aging on the reliability of standby systems with switching failures.