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objective function (eg, approximation error). A key question is to devise an algorithm that organizes the operators into a sequence, such that the best operators (low cost and high benefits) are performed
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to pilot and demonstrator levels, particularly for polymeric and functional materials. Perform key parameter calculations (e.g., heat/mass transfer, mixing, kinetics) to guide scale-up decisions. Design, set
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implement innovative solutions to enable seamless operation in connected and autonomous mobility use cases. - Validate research outcomes through a combination of high-fidelity simulations and
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enabling trustworthy AI adoption through methods and tools for compliance, readiness, and performance evaluation. In the field of Smart Cities, we lead the operations of the CitCom.ai project. CitCom.ai is
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with high dimensionality: Computational difficulties linked to the high dimensionality of the underlying tensor approach have been tackled in [GOU20] by undersampling the measured AF ECG signals