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Metaverse and Digital Twin Technologies, Machine Learning and Image Processing Computational Algorithms, and Geospatial Analytics and Simulation Modeling Tools in Interactive Virtual and Extended Reality Environments

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F23%3A00002642" target="_blank" >RIV/75081431:_____/23:00002642 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://addletonacademicpublishers.com/contents-rcp/2699-volume-22-2023/4509-metaverse-and-digital-twin-technologies-machine-learning-and-image-processing-computational-algorithms-and-geospatial-analytics-and-simulation-modeling-tools-in-interactive-virt" target="_blank" >https://addletonacademicpublishers.com/contents-rcp/2699-volume-22-2023/4509-metaverse-and-digital-twin-technologies-machine-learning-and-image-processing-computational-algorithms-and-geospatial-analytics-and-simulation-modeling-tools-in-interactive-virt</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Metaverse and Digital Twin Technologies, Machine Learning and Image Processing Computational Algorithms, and Geospatial Analytics and Simulation Modeling Tools in Interactive Virtual and Extended Reality Environments

  • Popis výsledku v původním jazyce

    We draw on a substantial body of theoretical and empirical research on metaverse and digital twin technologies, machine learning and image processing computational algorithms, and geospatial analytics and simulation modeling tools. In this research, prior findings were cumulated indicating that simulation modeling and computational intelligence tools, sentiment analytics, and metaverse assets and services enable interactive virtual and extended reality environments. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout April 2023, with search terms including “interactive virtual and extended reality environments” + “metaverse and digital twin technologies,” “machine learning and image processing computational algorithms,” and “geospatial analytics and simulation modeling tools.” As we analyzed research published in 2022 and 2023, only 188 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, we decided on 34, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, ROBIS, and SRDR.

  • Název v anglickém jazyce

    Metaverse and Digital Twin Technologies, Machine Learning and Image Processing Computational Algorithms, and Geospatial Analytics and Simulation Modeling Tools in Interactive Virtual and Extended Reality Environments

  • Popis výsledku anglicky

    We draw on a substantial body of theoretical and empirical research on metaverse and digital twin technologies, machine learning and image processing computational algorithms, and geospatial analytics and simulation modeling tools. In this research, prior findings were cumulated indicating that simulation modeling and computational intelligence tools, sentiment analytics, and metaverse assets and services enable interactive virtual and extended reality environments. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout April 2023, with search terms including “interactive virtual and extended reality environments” + “metaverse and digital twin technologies,” “machine learning and image processing computational algorithms,” and “geospatial analytics and simulation modeling tools.” As we analyzed research published in 2022 and 2023, only 188 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, we decided on 34, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, ROBIS, and SRDR.

Klasifikace

  • Druh

    J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS

  • CEP obor

  • OECD FORD obor

    50200 - Economics and Business

Návaznosti výsledku

  • Projekt

  • Návaznosti

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Review of Contemporary Philosophy

  • ISSN

    1841-5261

  • e-ISSN

  • Svazek periodika

    22

  • Číslo periodika v rámci svazku

    Neuveden

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    17

  • Strana od-do

    34-50

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus

    2-s2.0-85172677742