The SEC-AIRSPACE project has two main objectives: 1) improve the cyber security risk management of existing and future Air Traffic Management (ATM) systems, 2) increasing the cyber security awareness and maturity amongst the ATM stakeholders.
Carbon capture from syngas to Single Cell Protein (SCP) and use as fish feed ingredient
KSP WIND will develop new simulation tools for accurate analysis of wind-powered ships that include aerodynamics, hydrodynamics, propulsion, machinery, control system, and operation, both for short-term time-domain analysis and long-term statistical...
Marine rest raw material constitutes an important value-creating resource in the Norwegian fisheries and aquaculture industry. Today, the majority is brought to shore and taken care of in a good way, but the potential for increased utilization rate...
In the ATAM project we will build collaboration between the partners and develop and demonstrate AI-based methods for automated planning and acting – AI planning – in autonomous multi-robot operations needed for the defence sector and for...
By merging competences of metocean, wave hydrodynamics, and structural dynamics, the B -WAVES-project will gain new knowledge on the extreme waves and wave loads that bottom fixed offshore wind turbines experience during its lifetime.
The purpose of the project was to understand the drivers of demand growth in municipal services for younger users, and to improve forecasting models for municipal health and care services.
The PERTINENCE project is dedicated to transferring knowledge and results in the field of physics-informed AI, which combines traditional physics-based modeling methods with AI approaches, from ongoing research in civilian application to defense...
Ammonia (NH3) has intrinsic risks due to toxicity and flammability.
The project will identify the global food industry needs, considering emerging processing technologies, such as high pressure processing, membrane processing, pulsed electric field and ultrasound.
The PlastiSpread project studies the role of the microbial community in biofilms associated with marine plastics, and how they are influenced by variations in urban WW discharges.
We will enable medical imaging in remote areas by using artificial intelligence to guide ultrasound in real-time. Thereby improving remote health care services and its environmental and economic sustainability.
The aim of the project is to generate knowledge on barriers and facilitators for successful transitions and pathways for young unemployed people with reduced work capacity.
OpenMod4Africa aims at developing sustainable and reliable energy systems in Africa, and is set to make a significant impact on the continent's energy landscape.
By combining machine learning and physics-based modelling, we can get the best from both worlds – in models that utilize the information that lies in the data while respecting the laws of nature.
How can we make autonomous underwater robotic intervention more robust by understanding and utilizing the uncertainty involved in the sensing-perception-manipulation pipeline? This is the topic for the SAFESUB project.
CAPTUS aims to demonstrate sustainable and cost-effective pathways to produce high added-value renewable energy carriers from the carbon emissions of energy intensive industries.
CAPTUS will demonstrate sustainable and cost-effective pathways to produce high-added value RECs in EIIs by valorizing industrial carbon emissions and integrating renewable electricity surplus.