Browsing Brage NMBU by Title
Now showing items 12103-12122 of 17123
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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 ... -
Predicting the spatial abundance of Ixodes ricinus ticks in southern Scandinavia using environmental and climatic data
(Peer reviewed; Journal article, 2019)Recently, focus on tick-borne diseases has increased as ticks and their pathogens have become widespread and represent a health problem in Europe. Understanding the epidemiology of tickborne infections requires the ability ... -
Predicting treatment outcome of colorectal cancer from MRI images using machine learning
(Master thesis, 2021)In this thesis different machine learning algorithms have been utilised to predict treatment outcome for patients with colorectal cancer. The predicted treatment endpoint was overall survival. The patient cohort included ... -
Prediction accuracy of direct and indirect approaches, and their relationships with prediction ability of calibration models
(Journal article; Peer reviewed, 2018) -
Prediction of available phosphorus in soil: Combined use for crop production and water quality protection
(Peer reviewed; Journal article, 2020)Optimizing phosphorus (P) application to agricultural soils is fundamental to crop production and water quality protection. We sought to relate soil P tests and P sorption characteristics to both crop yield response to P ... -
Prediction of biodiversity hotspots in the Anthropocene: The case of veteran oaks
(Journal article; Peer reviewed, 2017)Over the past centuries, humans have transformed large parts of the biosphere, and there is a growing need to understand and predict the distribution of biodiversity hotspots influenced by the presence of humans. Our basic ... -
Prediction of chemical and sensory properties in strawberries using Raman spectroscopy
(Peer reviewed; Journal article, 2023) -
Prediction of deoxynivalenol toxicokinetics in humans by in vitro-to-in vivo extrapolation and allometric scaling of in vivo animal data
(Journal article; Peer reviewed, 2018) -
Prediction of enteric methane emissions by sheep using an intercontinental database
(Peer reviewed; Journal article, 2023)