Advances in Intelligent Systems Research and Innovation (eBook, PDF)

Redaktion: Sgurev, Vassil; Kacprzyk, Janusz; Jotsov, Vladimir

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 496
• Erscheinungstermin: 3. November 2021
• Englisch
• ISBN-13: 9783030781248
• Artikelnr.: 62872646

Inhaltsangabe

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.