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frameworks that help organizations in the technical industry evaluate the economic balance of AI adoption, weighing investment and operating costs against measurable returns such as reduced labor input
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’ recovery progress, timely detect and even predict clinical adverse events like delirium, cardiac arrhythmias and pneumonia. In this project, the University of Twente (Biomedical Signals and Systems group
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design and material handling, enabling first-time-right manufacturing. The predictive quality of these tools relies on accurate constitutive models that describe the behavior of the molten material during
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