Digital Twins for Smart Cities: Case Study and Visualisation via Mixed Reality
Author:
Affiliation:
1. Durham University,Department of Engineering,Durham,UK
2. Northumbria University,Physics & Electrical Engineering,Department of Mathematics,Newcastle,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10012685/10012692/10012753.pdf?arnumber=10012753
Reference22 articles.
1. Machine Learning and Digital Twin Driven Diagnostics and Prognostics of Light‐Emitting Diodes
2. Energy-efficient street lighting through embedded adaptive intelligence
3. The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities
4. Optimization with traffic-based control for designing standalone streetlight system: A case study
5. Adafruit circuitpython,0
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1. Characterizing the Role of Geospatial Science in Digital Twins;ISPRS International Journal of Geo-Information;2024-09-05
2. Digital Twins for Street Lighting: Challenges for a Virtual Reality solution based on Internet-of-Things Devices and Photometry Rendering;2023 IEEE Sustainable Smart Lighting World Conference & Expo (LS18);2023-06-08
3. SENS+: A Co-Existing Fabrication System for a Smart DFA Environment Based on Energy Fusion Information;Sensors;2023-03-07
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