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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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analysis. For many clinical procedures there can be multiple deviations in service delivery, which influences process reliability, efficiency of usage of hospital resources and risk to staff and patient
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will be augmented with atomistic structure data from electronic structure theory and STEM image simulations. All data will be combined into an automated workflow that predicts thermodynamically stable
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conceptualize structures by fostering automation, efficiency, and creativity in early-stage design. The PhD will be conducted within NTNU’s Conceptual Structural Design Group (CSDG), offering opportunities
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, or behavioral rules. The automated adaptive mechanism of environment representation from sensor data will detect changes, adapt the model and explain this adaptation, consider several concurrent interpretations
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learning-based workflows for diatoms species identification and trait quantification (e.g. size, deformation intensity). · Benchmarking and validation: Compare automated approaches with traditional
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I-2503 – PHD IN EXPLAINABLE AI FOR DATA-DRIVEN PHYSIOLOGICAL AND BEHAVIORAL MODELLING OF CAR DRIVERS
participate in planning data collection studies under controlled conditions. · Automate processes and explore state-of-the-art solutions for filtering, noise reduction, and kernel-based techniques