Blar i Brage NMBU på tittel
Viser treff 12072-12091 av 17088
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Preconditioners for PDE-constrained optimization problems with box constraints: Towards high resolution inverse ECG images
(Journal article; Peer reviewed, 2017) -
Predation on adult moose Alces alces by European brown bears Ursus arctos
(Journal article; Peer reviewed, 2013) -
Predation on artificial nests in relation to human activity and willow ptarmigan density along landscape gradients in a boreal ecosystem
(Master thesis, 2010-12-16)Sammendrag I et forsøk gjennomført i fem lirypeområder i Midt-Norge fant vi at totale predasjonsrater på falske reir med vaktelegg (Coturnix coturnix) varierte fra 39.8 % til 50.7 % over tre år. De vanligste eggpredatorene ... -
Predation or scavenging? Prey body condition influences decision-making in a facultative predator, the wolverine. Photo gallery
(Journal article; Peer reviewed, 2017)What determines whether a predator scavenges or kills its own prey? Using data on wolverines ( Gulo gulo ) in Scandinavia, we studied variation in diet and feeding strategies along a gradient of environmental productivity, ... -
Predation-induced ungulate carcasses mediate vegetation composition in the boreal ecosystem
(Master thesis, 2017)Apex carnivores are mostly recognized for their effects on ecosystem processes through altering population dynamics and behaviour of their prey. Apex carnivores may also affect lower trophic levels through the distribution ... -
Predatory Earwigs are Attracted by Herbivore-Induced Plant Volatiles Linked with Plant Growth-Promoting Rhizobacteria
(Peer reviewed; Journal article, 2020) -
Predicting and mapping human risk of exposure to ixodes ricinus nymphs using climatic and environmental data, Denmark, Norway and Sweden, 2016
(Journal article; Peer reviewed, 2019) -
Predicting electricity demand using machine learning: Case study of Oslo Airport Gardermoen
(Master thesis, 2024)With an increasing need for electricity in society and a more complex energy production mix, future electrical power systems require intelligent systems for efficient resource management. In order to realize the potential ... -
Predicting Environmental Risks of Pharmaceuticals from Wholesale Data: An Example from Norway
(Peer reviewed; Journal article, 2023) -
Predicting fault events in the Norwegian electrical power system using deep learning : a sequential approach
(Master thesis, 2019)The demand for energy is steadily increasing. The global community is working towards a society supplied by clean energy from renewable sources. This leads to new requirements for the electrical power system. To solve the ... -
Predicting feed intake and feed efficiency in lactating dairy cows using digesta marker techniques
(Peer reviewed; Journal article, 2019)Direc t mea surement of individual animal dry ma tter intake (DMI) remains a funda mental challeng e to assessing dairy feed ef ficiency (FE) . Digest a marker, is currently the most used indirect technique for estimating ... -
Predicting field N2O emissions from crop residues based on their biochemical composition: A meta-analytical approach
(Journal article; Peer reviewed, 2022)Crop residue incorporation is a common practice to increase or restore organic matter stocks in agricultural soils. However, this practice often increases emissions of the powerful greenhouse gas nitrous oxide (N2O). ... -
Predicting grain yield by utilizing multispectral images and convolutional neural network
(Master thesis, 2023)According to the UN’s sustainability goals, hunger should have been eradicated by 2030, but the number is going the wrong way, with around 800 million people who suffer from undernourishment in 2022. Therefore, there is a ... -
Predicting living and dead wood volumes in a mature managed Swedish forest with airborne laser scanning
(Master thesis, 2022)Detecting dead wood with airborne laser scanning (ALS) would have many benefits. It would make it easier to find areas with high mortality rates, help make better decisions on which areas to preserve, and increase the ... -
Predicting model parameters of a spiking neuron network through its local field potential by using deep learning
(Master thesis, 2018)Electrophysiological measurements provide a relatively easy method of probing the brain at the scale of networks. One example of such measurements is the extracellu- lar potential that can be obtained by inserting ... -
Predicting patient outcome using radioclinical features selected with RENT for patients with colorectal cancer
(Master thesis, 2022)Colorectal cancer remains a problem in medicine, costing countless lives each year. The growing amount of data available about these patients have piqued the interest of researchers, as they try to use machine learning to ... -
Predicting quantitative traits from genome and phenome with near perfect accuracy.
(Journal article; Peer reviewed, 2016)In spite of decades of linkage and association studies and its potential impact on human health, reliable prediction of an individual's risk for heritable disease remains difficult. Large numbers of mapped loci do not ... -
Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis
(Peer reviewed; Journal article, 2020) -
Predicting survival and longevity of sows using purebred and crossbred data
(Journal article, 2020)Survival and longevity are very important traits in pig breeding. From an economic standpoint, it is favorable to keep the sows for another parity instead of replacing them and, from the animal’s perspective, better welfare ... -
Predicting the Extent of Root and Butt rot in Stems of Norway Spruce (Picea abies)
(Master thesis, 2020)Commercially, Norway spruce (Picea abies (L.) Karst) is the most important tree species in Norway, representing 72% of the industrial timber volume sold in 2019. However, Norway spruce is particularly prone to infection ...