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Artificial Intelligence and Computational Methods in the Modeling of Complex Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27200%2F21%3A10247613" target="_blank" >RIV/61989100:27200/21:10247613 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151675/" target="_blank" >https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151675/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/e23050586" target="_blank" >10.3390/e23050586</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Artificial Intelligence and Computational Methods in the Modeling of Complex Systems

  • Original language description

    Based on the increased attention, the Special Issue aims to investigate the modeling of complex systems using artificial intelligence and computational methods. More specifically, we invited authors to submit original research articles as well as review articles that provide a novel insight into the analysis and optimization via modeling by artificial intelligence algorithms, etc. The Special Issue of the journal Entropy compiles 19 creative research articles on an innovative application of the above-mentioned modeling methods. The articles in the Special Issue are proof of the importance of the optimization of various complex systems and modeling of their performance. In this Editorial, we provide a brief summary of the papers in this Special Issue, in order of their appearance.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10301 - Atomic, molecular and chemical physics (physics of atoms and molecules including collision, interaction with radiation, magnetic resonances, Mössbauer effect)

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Entropy

  • ISSN

    1099-4300

  • e-ISSN

  • Volume of the periodical

    23

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    5

  • Pages from-to

  • UT code for WoS article

    000653908900001

  • EID of the result in the Scopus database

    2-s2.0-85106613457