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
Gheorghe H. Popescu1, Mile Vasic2, Cristian Florin Ciurlău3,Emilia Pascu3, Șerban George Alpopi4ABSTRACT. 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.
Keywords: visual Internet of Things; digital twin; virtual mapping; urban analytics; multi-sensor environment data fusion; sustainable smart cities
How to cite: Popescu, G. H., Vasic, M., Ciurlău, C. F., Pascu, E., Alpopi, Ș. G. (2026). “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,” Geopolitics, History, and International Relations 18(1): 22–34. doi: 10.22381/GHIR18120262.
Received 7 February 2026 • Received in revised form 23 June 2026
Accepted 28 June 2026 • Available online 30 June 2026
