Acoustic Environment Recognition and Visual Tracking Algorithms, Deep Learning-based Ambient Sound Processing Tools, and Geospatial Mapping and Remote Sensing Technologies in a Real-Time Interoperable Decentralized Metaverse

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F23%3A00002635" target="_blank" >RIV/75081431:_____/23:00002635 - isvavai.cz</a>

Výsledek na webu

<a href="https://addletonacademicpublishers.com/contents-lpi/2708-volume-22-2023/4457-acoustic-environment-recognition-and-visual-tracking-algorithms-deep-learning-based-ambient-sound-processing-tools-and-geospatial-mapping-and-remote-sensing-technologies-in-a-re" target="_blank" >https://addletonacademicpublishers.com/contents-lpi/2708-volume-22-2023/4457-acoustic-environment-recognition-and-visual-tracking-algorithms-deep-learning-based-ambient-sound-processing-tools-and-geospatial-mapping-and-remote-sensing-technologies-in-a-re</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Acoustic Environment Recognition and Visual Tracking Algorithms, Deep Learning-based Ambient Sound Processing Tools, and Geospatial Mapping and Remote Sensing Technologies in a Real-Time Interoperable Decentralized Metaverse

Popis výsledku v původním jazyce

The present study systematically reviews the existing research on holographic imaging and immersive 3D technologies, multi-machine cooperation and digital twin modeling tools, and computer vision and neural network-based recognition algorithms Our findings indicate that multisensory user experiences can be achieved by use of image processing computational and visual perception algorithms, digital contact tracing and cloud-based cognitive technologies, and voice and gesture recognition tools. Throughout January 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “real-time interoperable decentralized metaverse” + “acoustic environment recognition and visual tracking algorithms,” “deep learning-based ambient sound processing tools,” and “geospatial mapping and remote sensing technologies.” As research published between 2022 and 2023 was inspected, only 171 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 34 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.

Název v anglickém jazyce

Acoustic Environment Recognition and Visual Tracking Algorithms, Deep Learning-based Ambient Sound Processing Tools, and Geospatial Mapping and Remote Sensing Technologies in a Real-Time Interoperable Decentralized Metaverse

Popis výsledku anglicky

The present study systematically reviews the existing research on holographic imaging and immersive 3D technologies, multi-machine cooperation and digital twin modeling tools, and computer vision and neural network-based recognition algorithms Our findings indicate that multisensory user experiences can be achieved by use of image processing computational and visual perception algorithms, digital contact tracing and cloud-based cognitive technologies, and voice and gesture recognition tools. Throughout January 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “real-time interoperable decentralized metaverse” + “acoustic environment recognition and visual tracking algorithms,” “deep learning-based ambient sound processing tools,” and “geospatial mapping and remote sensing technologies.” As research published between 2022 and 2023 was inspected, only 171 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 34 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

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OECD FORD obor

50200 - Economics and Business

Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Linguistic and Philosophical Investigations

ISSN

1841-2394

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

128-144

Kód UT WoS článku

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EID výsledku v databázi Scopus

2-s2.0-85166079569