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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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potential impact on humans and the environment. This project aims to identify and characterize radionuclide transfer and bioaccumulation in aquatic organisms in combination with chemical stressors and under
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, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining the mathematical and
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to classify biological and fire protection degradation in wooden façades on multi-story buildings by combining remote sensing-based façade inspection with microclimate modelling and performance
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infrastructure for ensuring satisfactory acoustic conditions. These vertical surfaces hold potential for renewable-energy production, enabling their transformation into green infrastructure that combines noise
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domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining the mathematical and computational cultures, and the methodologies and theories
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satisfactory acoustic conditions. These vertical surfaces hold potential for renewable-energy production, enabling their transformation into green infrastructure that combines noise control with energy
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–brain axis, the project combines behavioral and physiological measurements with microscopic analysis of gut tissues. This integrated approach will reveal how enrichment impacts both body and brain with
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, cognition, gut function, and neuroplasticity of the brain. Because gut health affects mood, stress, and cognition through the so-called gut–brain axis, the project combines behavioral and physiological
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in the design of modern electric vehicles, forming critical crash structures and battery enclosures that ensure passenger safety. These alloys offer an outstanding combination of strength and low
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of domain knowledge into AI models, combining physics-based modeling, maritime regulations, and operational data with modern AI architectures. The combination of optimization and AI in fleet renewal and