Digital Twin Technology: Bridging the Gap Between Physical and Virtual Systems
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Abstract
Digital twin technology is reshaping industries by enabling real-time simulation and monitoring of physical systems. This paper examines the principles, architecture, and applications of digital twins in sectors such as manufacturing, healthcare, and smart cities. We discuss the integration of IoT, AI, and cloud computing in creating robust digital twins and highlight their role in predictive maintenance, resource optimization, and decision-making. Case studies showcase the transformative potential of digital twins, while addressing challenges related to data synchronization, security, and scalability.
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