VOLUME 15(2) • 2023
Urban Simulation and Modeling Technologies, Smart City Digital Twins, and Predictive Control and Sensor Fusion Algorithms in 3D Immersive Environments
ABSTRACT. The aim of this systematic review is to synthesize and analyze geolocation data mining and tracking, simulation modeling and ambient scene detection tools, and metaverse and immersive technologies. With increasing evidence of geolocation data processing algorithms, holographic imaging and ..
Urban Sensing and Digital Twin Technologies, Deep Learning and Simulation Modeling Algorithms, and Geospatial Data Mining and Virtual Mapping Tools for Smart City Governance
ABSTRACT. The purpose of this study is to examine urban digital twins, extended reality and machine vision technologies, immersive visualization systems, and real-time predictive analytics. In this article, previous research findings were cumulated indicating that interactive virtual environments in..
Deep Learning-based Sensing and Spatial Computing Technologies, Context Awareness and Object Perception Algorithms, and Digital Twin Simulation and Immersive Decentralized Networking Tools for Smart Sustainable City Governance
ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore urban modeling and simulation algorithms, multi-object detection and tracking tools, smart city software systems, and Internet of Things-based connected devices. In this research, previous findings were c..
Urban Sensing and Immersive 3D Technologies, Computer Vision and Sensor Fusion Algorithms, and Smart City Digital Twins in Extended Reality Environments
ABSTRACT. This paper provides a systematic literature review of studies investigating smart city and dynamic routing technologies, virtual sensor networks, edge computing and geospatial analytics tools, and metaverse decentralized governance systems. The analysis highlights that multi-source remote ..
Deep Learning-based Sensing and 3D Imaging Technologies, Machine Vision and Geospatial Mapping Tools, and Big Data-driven Urban Analytics in Cognitive Smart Cities
ABSTRACT. In this article, previous research findings were cumulated, indicating that computer vision systems, digital twin modeling and simulation tools, infrastructure virtualization and deep learning-based sensing technologies, and big geospatial data analytics. The contribution to the literature..
Urban Simulation Modeling and Visual Data Mining Tools, Image Processing Computational and Remote Sensing Algorithms, and Digital Twinning and Geospatial Mapping Technologies in Internet of Things-based Smart City Environments
ABSTRACT. This paper draws on a substantial body of theoretical and empirical research on smart infrastructure sensors, virtual and augmented reality tools, big data-driven urban analytics, and urban modeling and simulation algorithms. In this research, prior findings were cumulated indicating that ..