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Jaehan Jeon and Gerasimos Theotokatos
Digital twins (DTs) are gradually employed in the maritime industry to represent the physical systems and generate datasets, among others. However, the trustworthiness of both the digital twins and datasets must be assured. This study aims at developing ...
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Lucio Pinello, Lorenzo Brancato, Marco Giglio, Francesco Cadini and Giuseppe Francesco De Luca
In recent times, the demand for resilient space rovers has surged, which has been driven by the amplified exploration of celestial bodies such as the Moon and Mars. Recognising the limitations of direct human intervention in such environments, these rove...
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Pengyu Wei, Chuntong Li, Ze Jiang and Deyu Wang
Digital twins, an innovative technology propelled by data and models, play a seminal role in the digital transformation and intelligent upgrade of ships. This study introduces a digital twin methodology for the real-time monitoring of ship structure defo...
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Carlos Serôdio, Pedro Mestre, Jorge Cabral, Monica Gomes and Frederico Branco
In the context of Industry 4.0, this paper explores the vital role of advanced technologies, including Cyber?Physical Systems (CPS), Big Data, Internet of Things (IoT), digital twins, and Artificial Intelligence (AI), in enhancing data valorization and m...
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Michaela Cellina, Maurizio Cè, Marco Alì, Giovanni Irmici, Simona Ibba, Elena Caloro, Deborah Fazzini, Giancarlo Oliva and Sergio Papa
Digital twins are virtual replicas of physical objects or systems. This new technology is increasingly being adopted in industry to improve the monitoring and efficiency of products and organizations. In healthcare, digital human twins (DHTs) represent v...
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