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wrinkles can occur, which cause parts to be scrapped. To minimise material and energy wastage, digital models of the manufacturing processes can be developed and linked to process control and optimisation
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for clinical decision support. Activities include: data integration and preprocessing for AI model training; development and validation of predictive Digital Twin models for disease progression prediction, risk
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materials is still evolving, especially for temperature- and rate-sensitive systems like prepreg. This project aims to address these challenges by developing a suite of deployable tools and predictive models
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additional controlled evaluations using both simulated data and real ephemerides, including Low Earth Orbit satellites. The grant will prioritise: quantitative validation of prediction accuracy
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with industrial application using sensor systems, systematized software production and scientific production and writing, designing, building and testing laboratory prototypes for predictive maintenance
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tweezers to control, orient, and destabilize the emulsions in order to release the substance at the target site, which will be evaluated by microscopy and image analysis. Legislation and regulations: Law Nº