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Remote Sensing Data Fusion Techniques, Multimodal Behavioral Predictive and Mobile Location Analytics, and Spatial Cognition and Context Awareness Algorithms in the Metaverse Economy

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F23%3A00002643" target="_blank" >RIV/75081431:_____/23:00002643 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://addletonacademicpublishers.com/contents-lpi/2708-volume-22-2023/4454-remote-sensing-data-fusion-techniques-multimodal-behavioral-predictive-and-mobile-location-analytics-and-spatial-cognition-and-context-awareness-algorithms-in-the-metaverse-econ" target="_blank" >https://addletonacademicpublishers.com/contents-lpi/2708-volume-22-2023/4454-remote-sensing-data-fusion-techniques-multimodal-behavioral-predictive-and-mobile-location-analytics-and-spatial-cognition-and-context-awareness-algorithms-in-the-metaverse-econ</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Remote Sensing Data Fusion Techniques, Multimodal Behavioral Predictive and Mobile Location Analytics, and Spatial Cognition and Context Awareness Algorithms in the Metaverse Economy

  • Popis výsledku v původním jazyce

    The purpose of this study is to examine big geospatial data and user journey analytics, metaverse assets and services, and cyber-physical cognitive and immersive visualization systems. We contribute to the literature on virtual modeling and immersive 3D technologies, context awareness and machine vision algorithms, and sensor and actuator devices by showing that immersive digital worlds require computer vision and cognitive decision-making algorithms, deep learning-based sensing and spatial computing technologies, and virtual navigation and data mining tools. Throughout December 2022, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “the metaverse economy” + “remote sensing data fusion techniques,” “multimodal behavioral predictive and mobile location analytics,” and “spatial cognition and context awareness algorithms.” As we inspected research published between 2022 and 2023, only 179 articles satisfied the eligibility criteria. By removing controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 36, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, MMAT, and SRDR.

  • Název v anglickém jazyce

    Remote Sensing Data Fusion Techniques, Multimodal Behavioral Predictive and Mobile Location Analytics, and Spatial Cognition and Context Awareness Algorithms in the Metaverse Economy

  • Popis výsledku anglicky

    The purpose of this study is to examine big geospatial data and user journey analytics, metaverse assets and services, and cyber-physical cognitive and immersive visualization systems. We contribute to the literature on virtual modeling and immersive 3D technologies, context awareness and machine vision algorithms, and sensor and actuator devices by showing that immersive digital worlds require computer vision and cognitive decision-making algorithms, deep learning-based sensing and spatial computing technologies, and virtual navigation and data mining tools. Throughout December 2022, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “the metaverse economy” + “remote sensing data fusion techniques,” “multimodal behavioral predictive and mobile location analytics,” and “spatial cognition and context awareness algorithms.” As we inspected research published between 2022 and 2023, only 179 articles satisfied the eligibility criteria. By removing controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 36, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, MMAT, 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

    Linguistic and Philosophical Investigations

  • ISSN

    1841-2394

  • 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

    77-93

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus

    2-s2.0-85166121504