Deep Learning-based Visual Internet of Things and Digital Twin Simulation Technologies, Virtual Mapping and Urban Analytics Tools, and Multi-Sensor Environment Data Fusion in Sustainable Smart Cities
Deep Learning-based Visual Internet of Things and Digital Twin Simulation Technologies, Virtual Mapping and Urban Analytics Tools, and Multi-Sensor Environment Data Fusion in Sustainable Smart Cities

Summary/Abstract: Based on an in-depth survey of the literature, the purpose of the paper is to explore how immersive 3D multi-sensory extended reality and cognitive computing technologies, virtual simulation and digital twin modeling tools, and sustainable urban governance and interconnected sensor networks can optimize big data-driven urban and virtual data analytics in immersive 3D virtual reality environments. Geospatial mapping and immersive 3D technologies, urban analytics and virtual data modeling tools, and smart environment sensors can further Internet of Things-based smart city environments and immersive multisensory virtual spaces.

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