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This paper discusses the integration of Digital Twins (DT) and Internet of Things (IoT) technologies in smart campuses to enhance operational efficiency and resource utilization. It demonstrates the use of machine learning, particularly Long-Short-Term Memory (LSTM) neural networks, to predict internal temperature and space occupancy based on sensor data. The research highlights the importance of data preprocessing and the potential benefits of smart campuses, including improved decision-making and enhanced

Author

caioasu

Language

EN