Browsing Brage NMBU by Subject "machine learning"
Now showing items 1-8 of 8
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Airborne hyperspectral imaging for multisensor data fusion
(PhD Thesis;2023:18, Doctoral thesis, 2023)Multisensor data fusion demand in Earth observations is constantly increasing thanks to technological advances and the willingness to explore the Earth in a multidisciplinary way. Recently hyperspectral imaging has become ... -
Canadian housing prices : a case study using macroeconomic variables and machine learning
(Master thesis, 2022)This thesis uses cointegration methods to investigate the extent to which segmentation manifests in the Canadian housing markets. By applying the Johansen, Engel-Granger, and FMOLS models, inference on market segmentation ... -
Data- and expert-driven feature selection for predictive models in healthcare : towards increased interpretability in underdetermined machine learning problems
(PhD Thesis;2023:34, Doctoral thesis, 2023)Modern data acquisition techniques in healthcare generate large collections of data from multiple sources, such as novel diagnosis and treatment methodologies. Some concrete examples are electronic healthcare record systems, ... -
Explainable and data-efficient learning for visual guidance of autonomous agri-robots
(PhD Thesis;2021:73, Doctoral thesis, 2021)To feed a growing world population and achieve the goal of zero hunger, we must develop new technologies to improve farm productivity and sustainability. Agri-robots can be a part of this solution, but new research is ... -
A new approach for predicting milk production responses and feed utilization in dairy cows
(Doctoral thesis, 2021)Feed evaluation systems (FESs), such as the Nordic Feed Evaluation System (NorFor), aim to help dairy producers compare the nutritive value of various types of feed, formulate of balanced diets, and predict animal performance ... -
Predictive machine learning on SEM and hyperspectral images of uranium ore concentrates (UOCs) for nuclear forensics
(Master thesis, 2020)Nuclear and radioactive materials are harmful to individuals, especially when it’s not professionally managed. Nuclear and radioactive materials going astray pose a great threat to the general public. The field of nuclear ... -
Spring wheat trait prediction using combined multi-environment, weather and multispectral timeseries UAV data
(Master thesis, 2021)Pre-harvest yield forecast is an important factor in high-throughput plant phenotyping (HTPP). It also is critical for making policy decisions concerning food security. The developments in Unmanned Aerial Vehicle (UAV) ... -
A study of statistical and machine learning methods for power price prediction based on filling levels of hydropower reservoirs
(Master thesis, 2022)The European power markets have become highly integrated over the past decade. The electrical grids of individual countries are increasingly well connected between each other, which allows for trading the electricity on ...