Digital Twin—Cyber Replica of Physical Things: Architecture, Applications and Future Research Directions

The Internet of Things (IoT) connects massive smart devices to collect big data and carry out the monitoring and control of numerous things in cyber-physical systems (CPS). By leveraging machine learning (ML) and deep learning (DL) techniques to analyze the collected data, physical systems can be mo...

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Veröffentlicht in:	Future internet Jg. 14; H. 2; S. 64
Hauptverfasser:	Qian, Cheng, Liu, Xing, Ripley, Colin, Qian, Mian, Liang, Fan, Yu, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.02.2022
Schlagworte:	Agricultural production Agriculture Big Data CAD Communication Computer aided design Cyber-physical systems Data analysis Data collection Data science Deep learning Digital Twin Digital twins Electronic devices Energy consumption Farming Humidity Interdisciplinary studies Internet of Things Internet of Things (IoT) Machine learning Manufacturing Network latency Optimization Privacy Security Sensors Simulation Smart cities Smart grid smart-world applications System effectiveness Transportation
ISSN:	1999-5903, 1999-5903
Online-Zugang:	Volltext
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