Blar i NORCE Energi og teknologi på tittel
Viser treff 191-210 av 347
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Machine learning reveals regime shifts in future ocean carbon dioxide fluxes inter-annual variability
(Peer reviewed; Journal article, 2024)The inter-annual variability of global ocean air-sea CO2 fluxes are non-negligible, modulates the global warming signal, and yet it is poorly represented in Earth System Models (ESMs). ESMs are highly sophisticated and ... -
Manx Arrays: Perfect Non-Redundant Interferometric Geometries
(Peer reviewed; Journal article, 2022)Interferometry applications (e.g., radio astronomy) often wish to optimize the placement of the interferometric elements. One such optimal criterion is a uniform distribution of non-redundant element spacings (in both ... -
Mapping and characterization of unstable slopes with Sentinel-1 multi-geometry InSAR (activity line 2: public sector applications)
(Research report, 2020)This is a high-level report that summarizes the main achievements and results of the research and development conducted in the project “Mapping and Characterization of unstable slopes with Sentinel-1 multi-geometry InSAR ... -
Marginalized iterative ensemble smoothers for data assimilation
(Journal article; Peer reviewed, 2023)Data assimilation is an important tool in many geophysical applications. One of many key elements of data assimilation algorithms is the measurement error that determines the weighting of the data in the cost function to ... -
Mathematical modelling of alumina feeding
(Lecture, 2019) -
Mathematical modelling of alumina feeding
(Lecture, 2019) -
Mathematics and Medicine: How mathematics, modelling and simulations can lead to better diagnosis and treatments
(Peer reviewed; Journal article, 2019)Starting with the discovery of X-rays by Röntgen in 1895, the progress in medical imaging has been extraordinary and immensely beneficial to diagnosis and therapy. Parallel to the increase of imaging accuracy, there is the ... -
Measurement of snow water equivalent using drone-mounted ultra-wide-band radar
(Peer reviewed; Journal article, 2021)The use of unmanned aerial vehicle (UAV)-mounted radar for obtaining snowpack parameters has seen considerable advances over recent years. However, a robust method of snow density estimation still needs further development. ... -
The Melanocortin System in Atlantic Salmon (Salmo salar L.) and Its Role in Appetite Control
(Peer reviewed; Journal article, 2020)The melanocortin system is a key neuroendocrine network involved in the control of food intake and energy homeostasis in vertebrates. Within the hypothalamus, the system comprises two main distinct neuronal cell populations ... -
Memento: Localized time‐warping for spatio‐temporal selection
(Peer reviewed; Journal article, 2019)Interaction techniques for temporal data are often focused on affecting the spatial aspects of the data, for instance through the use of transfer functions, camera navigation or clipping planes. However, the temporal aspect ... -
Metaheuristic algorithms and their applications in wireless sensor networks: review, open issues, and challenges
(Journal article; Peer reviewed, 2024)Metaheuristic algorithms have wide applicability, particularly in wireless sensor networks (WSNs), due to their superior skill in solving and optimizing many issues in different domains. However, WSNs suffer from several ... -
Metamodeling of the Electrical Conditions in Submerged Arc Furnaces
(Peer reviewed; Journal article, 2021)Physics-based Finite Element Methods models can be used to investigate the electrical conditions in submerged arc furnaces (SAFs). However, their explicit solution may be very demanding in terms of time and computational ... -
Metanfangst fra melke- og kjøttproduksjon i driftsbygninger
(Research report, 2020)A large share of greenhouse gas emissions in agriculture in Norway is due to methane emissions resulting from the digestion process of animals. This project evaluates possibilities for methane capture and used in dairy ... -
Microbial hydrogen consumption leads to a significant pH increase under high-saline-conditions: implications for hydrogen storage in salt caverns
(Peer reviewed; Journal article, 2023)Salt caverns have been successfully used for natural gas storage globally since the 1940s and are now under consideration for hydrogen (H2) storage, which is needed in large quantities to decarbonize the economy to finally ... -
Microbial induced wettability alteration with implications for Underground Hydrogen Storage
(Peer reviewed; Journal article, 2024)Characterization of the microbial activity impacts on transport and storage of hydrogen is a crucial aspect of successful Underground Hydrogen Storage (UHS). Microbes can use hydrogen for their metabolism, which can then ... -
Microbial life in salt caverns and their influence on H2 storage – Current knowledge and open questions
(Peer reviewed; Journal article, 2024)Hydrogen will be one of the key components for renewable energy storage in the future energy systems as it can be stored in significant volumes to overcome daily to seasonal energy fluctuations. Subsurface storage in salt ... -
Microbiologically influenced corrosion-more than just microorganisms
(Peer reviewed; Journal article, 2023)Microbiologically influenced corrosion (MIC) is a phenomenon of increasing concern that affects various materials and sectors of society. MIC describes the effects, often negative, that a material can experience due to the ... -
Microfluidic study of effects of flow velocity and nutrient concentration on biofilm accumulation and adhesive strength in the flowing and no-flowing microchannels
(Peer reviewed; Journal article, 2019)Biofilm accumulation in porous media can cause pore plugging and change many of the physical properties of porous media. Engineering bioplugging may have significant applications for many industrial processes, while improved ... -
Modeling extra-deep electromagnetic logs using a deep neural network
(Peer reviewed; Journal article, 2021)Modern geosteering is heavily dependent on real-time interpretation of deep electromagnetic (EM) measurements. We have developed a methodology to construct a deep neural network (DNN) model trained to reproduce a full set ... -
Modeling of Environmental Fate and Effects of Oil Leakages from Abandoned Subsea Wells Using an Environmental Impact Factor Tool
(Peer reviewed; Journal article, 2021)Potential environmental consequences of oil leakages (i.e., continuous uncontrolled releases at low flow rate over a long period of time) need to be taken into consideration in the ongoing development of plug and abandonment ...