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...extraction and Long Short-Term Memory (LSTM) networks for temporal modeling. This system achieves a testing accuracy of 95%, aligning with existing benchmarks and demonstrating its robustness to variations in signing styles, orientations, and speeds. While challenges such as data imbalance and misclassification...

...sources (RES) and sector coupling (e.g. integrating heat and power). Decision makers need to apply more complex models and to better account for uncertainty, often stemming from the non-dispatchable nature of important RES. While solution techniques for stochastic programs are available and demonstated...

This white paper provides an overview of Resilience Engineering and seeks to answer the following questions: • What is Resilience Engineering? • Why do we need Resilience Engineering in integrated operations? • What is the significance of performance variability? • How does Resilience Engineering work...

...utilize mobile robots and new technology in sensors and AI to give increased value in breeding/phenotyping? Intro and scope: -Brief intro to SINTEF and NMBU -Mobile sensing – success stories from other domains -Scope: close-up sensing for berry phenotyping -Technology overview and background Technology...

This thesis investigated in situ oil depletion in temperate and Arctic seawater, focusing on how seasonal and locational changes influence biodegradation, photooxidation, and dissolution. Field trials in Trondheim, Vesterålen, and Svalbard used three oils deployed as thin films on Fluortex fabrics; a...

...gas emissions and particle size distribution were investigated during combustion experiments of wood, forest residue and mixtures of these two. The combustion experiments were carried out in a grate fired multi-fuel reactor with and without air staging at stable operation conditions and constant temperature...