Volume 11(3), 2023
Image-based Visual Computing and Deep Learning-based 6G Data-driven Network Technologies, Deep Reinforcement Learning-based and Bio-inspired Robotic Navigation Algorithms, and Multimodal Generative Artificial Intelligence and Context-aware Augmented Reality Systems in Digital Twin Industrial Metaverse
ABSTRACT. This paper draws on a substantial body of theoretical and empirical research on metaverse and digital twin technologies, industrial artificial Internet of Things and mobile edge computing networks, 3D image modeling and realistic virtual simulation tools, and spatial cognition and robotic ..
Robotic Navigation and Digital Twin-based Cyber-Physical Production Systems, Virtual 3D Scene Simulation and Deep Learning-assisted Smart Process Management Tools, and Immersive Geospatial Data Visualization and Distributed Artificial Intelligence Technologies in Smart Shop Floor Autonomous Manufacturing in the Industrial Metaverse
ABSTRACT. This paper provides a systematic literature review of studies investigating digital twin-enabled industrial Internet of Things, synthetic data and predictive maintenance tools, virtual simulation and computer vision algorithms, and cloud-based cognitive and machine intelligence technologie..
Transforming Urban Landscapes through Generative Artificial Intelligence: A Comprehensive Approach to Smart City Planning, Sustainable Infrastructure Development, and Enhanced Civic Engagement
ABSTRACT. This study examines the potential of AI to transform the practice of architecture, emphasizing the contributions of generative AI towards the construction of physical spaces, citizen outreach engagement, and the management of big data towards smart city frameworks. The paper relies on prim..
Harnessing the Power of Digital Twin Technologies for Smart Cities: Pioneering Real-Time Urban Management, Predictive Maintenance, and Sustainable Development Strategies
ABSTRACT. This study focuses on the use of digital twin (DT) technologies in the development of smart cities, which is specifically related to predictive maintenance, resource use, and sustainability. This integrates real-time data, predictive analytics, and simulation models to develop better manag..