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Environments for better Health and WELL-being). SWELL’s goal is to address the complex interaction between individual Humans’ HWB (health wellbeing) and the Built Environment (BE). Through new theoretical and
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challenges in machine learning for short multivariate time-series analysis. By developing a multiway and multitask learning framework with built-in explainability, the project aims to deliver clinically
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of Mechanical, Electronic and Chemical Engineering, and Department of Built Environment — and to Simula Metropolitan Center for Digital Engineering (SimulaMet). Programme description For more information about
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