Blockchain-based Decentralized Metaverse Systems, Industrial Artificial Intelligence of Things, and Spatial Data Mining and Acoustic Environment Recognition Algorithms in Realistic 3D Simulation Environments.

• Author: Cug, Juraj

1. Introduction

   Immersive metaverse experiences can be attained through virtual navigation and contextual data monitoring tools, big geospatial data and real-time predictive analytics, and convolutional neural and interconnected sensor networks. The purpose of our systematic review is to examine the recently published literature on realistic 3D simulation environments and integrate the insights it configures on blockchain-based decentralized metaverse systems, industrial Artificial Intelligence of Things, and spatial data mining and acoustic environment recognition algorithms. By analyzing the most recent (2022-2023) and significant (Web of Science, Scopus, and ProQuest) sources, our paper has attempted to prove that immersive virtual experiences can be attained across extended reality environments through virtual navigation and deep reinforcement learning tools, simulation modeling and deep learning algorithms (Kliestik et al., 2022), and cognitive and behavioral technologies. The actuality and novelty of this study are articulated by addressing virtual modeling and simulation tools (Zvarikova et al., 2023), wearable Internet of Things and virtual reality terminal devices, and industrial digital twins, that is an emerging topic involving much interest. Our research problem is whether multisensory immersive extended reality experiences can be attained through natural language processing and ambient intelligence tools, industrial Internet of Senses, and spatial computing and virtual modeling technologies.

   In this review, prior findings have been cumulated indicating that predictive modeling processes, networked embedded sensing devices, and edge computing and digital twin technologies (Grupac and Lazaroiu, 2022) articulate 3D virtual immersive environments. The identified gaps advance 3D modeling and simulation technologies (Valaskova et al, 2022), object perception and sensor path planning algorithms, and mobile location and behavioral predictive analytics. Our main objective is to indicate that virtual reality-based immersive experiences can be attained through computer vision and spatio-temporal fusion algorithms (Machova et al., 2022), digital twinning and intelligent data processing tools, and empathetic computing and extended cognitive systems in immersive photorealistic virtual spaces and across interoperable extended reality environments.

2. Theoretical Overview of the Main Concepts

   3D design environments require metaverse and digital twin technologies, artificial intelligent virtual sensors, and virtual machine remote monitoring. Digital twin connected factories in extended reality environments necessitate photorealistic synthetic imagery, metaverse-based industrial services, and realistic product visualizations. The manuscript is organized as following: theoretical overview (section 2), methodology (section 3), autonomous visual object detection and computational intelligence tools, immersive visualization and brain-inspired cognitive systems, and deep reinforcement learning-based and machine learning algorithms in the industrial metaverse (section 4), context awareness and data visualization tools, empathetic computing and extended cognitive systems, and sensory data mining and synthetic data generation techniques in the industrial metaverse (section 5), virtual navigation and contextual data monitoring tools, 3D digital twin modeling and semantic-based cognitive technologies, and location-aware networked systems and sensors in the industrial metaverse (section 6), discussion (section 7), synopsis of the main research outcomes (section 8), conclusions (section 9), limitations, implications, and further directions of research (section 10).

3. Methodology

   Throughout January 2023, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including "realistic 3D simulation environments" + "blockchain-based decentralized metaverse systems," "industrial Artificial Intelligence of Things," and "spatial data mining and acoustic environment recognition algorithms." As we inspected research published between 2022 and 2023, only 142 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 25, generally empirical, sources (Tables 1 and 2). Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, MMAT, and ROBIS (Figures 1-6).

4. Autonomous Visual Object Detection and Computational Intelligence Tools, Immersive Visualization and Brain-Inspired Cognitive Systems, and Deep Reinforcement Learning and Machine Learning Algorithms in the Industrial Metaverse

   Metaverse engagement and experiences (Bhattacharya et al., 2023; Gajdosikova et al., 2022; Truong et al., 2023) can be attained through autonomous visual object detection and computational intelligence tools, perception and planning algorithms, and real-time 3D rendering and machine learning-based object recognition technologies. Immersive virtual experiences can be attained across extended reality environments through virtual navigation and deep reinforcement learning tools, simulation modeling and deep learning algorithms, and cognitive and behavioral technologies.

   Immersive visualization and brain-inspired cognitive systems, computer graphics-based photorealistic imagery, and deep reinforcement learning and machine learning algorithms (Chang et al., 2022; Mosco, 2023; Wang et al., 2022) enable simulated 3D virtual reality training environments and the industrial metaverse. Virtual environmental and location sensors, biometric self-authentication devices, and avatar behavior modeling configure real-time simulation environments.

   Digital twin-enabled industrial Internet of Things, context-aware augmented reality and virtual production processes systems, and swarm computing and visual perception algorithms (Chen, 2023; Ning et al., 2023; Yao et al., 2022) further immersive 3D worlds and the industrial metaverse. Digital twin connected factories in extended reality environments necessitate photorealistic synthetic imagery, metaverse-based industrial...