The primary goal of the project is to develop a sensor suite and algorithms that will enable the detection and classification of critical faults – those that can cause power outages – even in poor visibility conditions.
The HyPla project will establish a novel extractive metal production process where electricity and hydrogen replace carbon in metal ore reduction.
Big jacket structures on the Norwegian shelf are now reaching the limit of their estimated service life, but new discoveries and improved production methods make prolonged operations desirable. There is therefore an increasing need for underwater...
Assessment of the diel vertical distribution patterns of salmon louse (Lepeophtheirus salmonis) copepodites at salmon farming sites.
A collaboration between China’s Ministry of Science and Technology (MoST) and the Research Council of Norway (RCN) will pull towards a digitalization of the mining and metal industries.
Emissions from the use of fossil fuels in transport are contributing to the amount of greenhouse gasses in the atmosphere, and so are also contributing to climate change. It is urgent to find solutions to fighting against harmful gas emissions...
Develop an intelligent, portable ultrasound device to enhance medical diagnostics for healthcare professionals.
SINTEF’s new planning tool for arrivals and departures enables 5.1 per cent increased runway capacity and improves the predictability of flights by 60.8 per cent.
The intelligent decision-making process for hydro scheduling
The goal of the LORCENIS-NOR project is to communicate recent achievements on enhanced concrete with an extended service life to Norwegian stakeholders in the market. Through advanced concrete technology, we have developed advanced functional...
The OntoTrans project responds to the need of industry to respond to manufacturing challenges more efficiently by accessing the relevant information and utilising materials modelling more effectively. In particular, there is a need to strengthen the...
A digital platform for monitoring and visualisation of aquaculture net cages and fish distribution based on sensors, real-time simulations and data assimilation (theoretical, mathematical models combined with observations).
Development of new knowledge and methods for optimized operations in fish farms
Development and validation of new tools and methods for quantifying the thickness of the mucosal layer of Atlantic salmon in order to better understand what effect various aquaculture operations have on the mucosal layer.
Assessment of the exposure to and impacts of net cleaning waste on Atlantic salmon.
ImmuneDroplets project aims at broadening our fundamental understanding about the interaction between virus-infected lung cells and cells of the innate immune system, specifically Natural Killer (NK) cells.
Explainable AI for improved autonomous vehicles.
Preparing for the next generation ocean forecast services through improved technological and methodological solutions for receiving user observations, forecast model subsetting, data assimilation, and finally displaying tailored forecasts to users.
