177646141X     

Advances in Intelligent Systems Research and Innovation / edited by Vassil Sgurev, Vladimir Jotsov, Janusz Kacprzyk

Sgurev, Vassil [Herausgeberin/-geber] ; Jotsov, Vladimir [Herausgeberin/-geber] ; Kacprzyk, Janusz [Herausgeberin/-geber]

1st ed. 2022.

Cham : Springer International Publishing [2022.] ; Cham : Imprint: Springer [2022.], 2022

1 Online-Ressource(VI, 496 p. 261 illus., 182 illus. in color.)

Englisch

Erscheint auch als: (Druck-Ausgabe)

Erscheint auch als: (Druck-Ausgabe)

Erscheint auch als: (Druck-Ausgabe)

978-3-030-78124-8

978-3-030-78123-1 (ISBN der Printausgabe); 978-3-030-78125-5 (ISBN der Printausgabe); 978-3-030-78126-2 (ISBN der Printausgabe)

Elektronische Ressource: Zugang über Resolving-System (Lizenzangabe: Lizenzpflichtig)

Digital Object Identifier (DOI): 10.1007/978-3-030-78124-8

006.3     Ähnliche Literatur

bicssc: UYQ ; bisacsh: TEC009000

LOC-SH: Computational intelligence. ; Statistical physics. ; Dynamical systems.

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.

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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.