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Field
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the service life of infrastructure. The research content includes: real-time data analysis and modeling pipeline network dynamic prediction and state identification optimisation algorithm and high-performance
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mangament in numerical models, including advanced calibration strategies from data (observations, measurements, other model predictions) and uncertainty reduction. Scientific context Many engineering and
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and time-series modelling techniques will be used to predict delay and performance degradation. The predictive models will be integrated into a real-time robotic system and evaluated in realistic
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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applications. Grid-interactive efficient buildings rely on emerging digital and cyber-physical systems to optimize HVAC operations for both energy efficiency and demand response. While Model Predictive Control
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A funded PhD position at SDU Physics - Interdisciplinary research within experimental soft matter...
density on flat dishes can detach altogether and get complex shapes, depending on their initial orientation. By controlling the orientation, we can predict the final shape, in the same way that the folds in
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Bayesian prediction models with uncertainty quantification for trustworthy personalized treatment decisions in the T-PRESS Evidence Ecosystem Framework”. The primary objective of the T-PRESS consortium is to
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validate the concept. This includes: - Translation of simulation insights into reactor design - Experimental investigation of particle retention and transport - Comparison between model predictions and
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-enabled infrastructures. ToM-Enabled Multi-Agent Cooperation: Equip autonomous agents to model the mental states of other agents, allowing prediction of behaviours, conflict resolution, and coordinated
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PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment Power converters are essential in numerous applications such as industry, photovoltaic systems