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
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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
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OECD FORD obor
50200 - Economics and Business
Návaznosti výsledku
Projekt
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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
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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
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EID výsledku v databázi Scopus
2-s2.0-85172677742