Utilizing AI and Metaverse Technologies for the Implementation of Smart City Applications

The metaverse has been the subject of a global trend in recent years. A network of connected, immersive digital areas where people can engage with computer-generated settings is called the metaverse. The realm of the metaverse possesses the potential to fundamentally change and alter smart cities-urban areas that aim to enhance citizen experiences by accelerating economic growth, modernizing government functions, enhancing accessibility, and promoting sustainability. In this article, we explore how utilizing the metaverse to power smart cities might spur substantial advancements and breakthroughs. The primary technologies that facilitate the metaverse are examined, along with the advantages of using this technology and its potential for smart city bids. We presented multiple instances and looked at the main opportunities that the metaverse provides for smart cities in order to show how the technology of the metaverse has helped and enriched a range of enterprises. Subsequently, five models of neural networks were chosen from the literature to be utilized in the air quality prediction process and evaluated based on accuracy. Therefore, the innovative model combination of ANN and DLR as an aid for decision-making and problem-solving can favourably regulate air pollution in order to handle environmental challenges.

Authors

Institutions

Publication Details

Published
2024-09-04
DOI
https://doi.org/10.1109/globalaisummit62156.2024.10947979
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utilizing AI and Metaverse Technologies for the Implementation of Smart City Applications

Sandeep Kumar, Ajay Kumar Singh, A. Goyal, Naveen Naval et al.
Impact of AI and Big Data on Business and Society
article

Utilizing AI and Metaverse Technologies for the Implementation of Smart City Applications

Sandeep Kumar, Ajay Kumar Singh, A. Goyal, Naveen Naval, Neeraj Bhanot, R. R. Sornalakshmi
article en

Abstract

The metaverse has been the subject of a global trend in recent years. A network of connected, immersive digital areas where people can engage with computer-generated settings is called the metaverse. The realm of the metaverse possesses the potential to fundamentally change and alter smart cities-urban areas that aim to enhance citizen experiences by accelerating economic growth, modernizing government functions, enhancing accessibility, and promoting sustainability. In this article, we explore how utilizing the metaverse to power smart cities might spur substantial advancements and breakthroughs. The primary technologies that facilitate the metaverse are examined, along with the advantages of using this technology and its potential for smart city bids. We presented multiple instances and looked at the main opportunities that the metaverse provides for smart cities in order to show how the technology of the metaverse has helped and enriched a range of enterprises. Subsequently, five models of neural networks were chosen from the literature to be utilized in the air quality prediction process and evaluated based on accuracy. Therefore, the innovative model combination of ANN and DLR as an aid for decision-making and problem-solving can favourably regulate air pollution in order to handle environmental challenges.

Lovely Professional University (IN), Graphic Era University (IN), Saveetha University (IN)
Sustainable cities and communities
Openalex Percentile: Top 65%
Impact of AI and Big Data on Business and Society
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.