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Using Machine Learning for Improved Production Planning in the Concrete Supplier Business
(Master thesis, 2021)In this thesis, the use of artificial intelligence within production planning is researched. A developed tool using reinforcement to learn to create suitable production schedules is presented. -
Using machine learning for optimal SLA/SLO contract negotiation in 5G
(Master thesis, 2020)The objective of this master thesis is to optimize strategy in the multi-operator domain to achieve the lowest overall cost while meeting the dependability SLO by using machine learning. To reach this objective, we ... -
Using Machine Learning for Predicting Alzheimer's Disease Among Older Adults
(Master thesis, 2024)Hovedfokuset i denne studien var å utforske mulighetene til å bruke maskinlæring for å predikere Alzheimers sykdom blant eldre, før symptomene oppstår. Vi startet med å utvikle og evaluere fem maskinlæringsmodeller som er ... -
Using Machine Learning for Predicting Alzheimer's Disease Among Older Adults
(Master thesis, 2024)Hovedfokuset i denne studien var å utforske mulighetene til å bruke maskinlæring for å predikere Alzheimers sykdom blant eldre, før symptomene oppstår. Vi startet med å utvikle og evaluere fem maskinlæringsmodeller som er ... -
Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
(Peer reviewed; Journal article, 2023)Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear ... -
Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
(Peer reviewed; Journal article, 2023)Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear ... -
Using machine learning pipeline to predict entry into the attack zone in football
(Peer reviewed; Journal article, 2023)Sports sciences are increasingly data-intensive nowadays since computational tools can extract information from large amounts of data and derive insights from athlete performances during the competition. This paper addresses ... -
Using machine learning prediction models for quality control: a case study from the automotive industry
(Journal article; Peer reviewed, 2023)This paper studies a prediction problem using time series data and machine learning algorithms. The case study is related to the quality control of bumper beams in the automotive industry. These parts are milled during the ... -
Using machine learning to assess the extent of busy ambulances and its impact on ambulance response times: A retrospective observational study
(Peer reviewed; Journal article, 2024)Background Ambulance response times are considered important. Busy ambulances are common, but little is known about their effect on response times. Objective To assess the extent of busy ambulances in Central Norway ... -
Using machine learning to balance metric trees
(Master thesis, 2006)The emergence of complex data objects that must to be indexed and accessed in databases has created a need for access methods that are both dynamic and efficient. Lately, metric tree structures have become a popular way ... -
Using machine learning to detect cyber and physical attacks in mobile robots
(Master thesis, 2023)Ettersom bruken av roboter øker i industrien for å løse ulike utfordringer, øker også behovet for å sikre disse løsningene. Dette gjelder spesielt for mobile roboter, hvor angrep fra en ondsinnet aktør potensielt kan ha ... -
Using Machine Learning to Detect Fraud and Predict Time Series
(Bachelor thesis, 2019)Kraftigere maskinvare og bedre maskinlæringsbibloteker gir nye muligheter for databehandling og analyse. Selv-lærende algoritmer har vist at de er i stand til å utkonkurrere menneskeskapte systmer i flere felt, og har blitt ... -
Using Masking and Location for Preposition SuperSense Detection
(Master thesis, 2020)Oppgaven fokuserer på hvordan bruk av plassering og maskering hjelper med å forbedre funnet av preposisjoner supersans. Oppgaven bygger en modell ved bruk av Keras og TensorFlow for å oppdage supersanser og bruker en ... -
Using Material Flow Analysis (MFA) to generate the evidence on plastic waste management from commercial fishing gears in Norway.
(Journal article; Peer reviewed, 2019)Plastic debris is an ever-growing concern adversely affecting the coastal and marine ecosystem. Among marine plastic waste, a particularly troublesome waste fraction is Abandoned, Lost or Discarded Fishing Gears (ALDFG) ... -
Using material flow analysis (MFA) to track the mass of plastics in aquaculture gear in the region of Møre and Romsdal.
(Master thesis, 2021)Dette prosjektet er en del av the blue circular economy (BCE) og er basert på tidligere arbeid utført av Deshpande et al. (2020) i å bruke materialstrømningsanalyse for å kvantifisere masser av plast, og fokusere i denne ... -
Using Material Flow Analysis for carbon accounting - A study case of a Norwegian paper mill
(Master thesis, 2023)The study performs a material flow analysis of the flows containing carbon of a Norwegian paper mill. Both the dry matter and the carbon flows are quantified. The results of the quantification is used to develop a model ... -
Using Metabolomics to Differentiate Player Positions in Elite Male Basketball Games: A Pilot Study
(Peer reviewed; Journal article, 2021)Purpose: The current study compared metabolic profiles and movement patterns between different player positions and explored relationships between indicators of internal and external loads during elite male basketball ... -
Using metrics to assess the ICC perceptual rendering intent
(Proceedings of SPIE;7867, Journal article; Peer reviewed, 2011)Increased interest in color management has resulted in more options for the user to choose between for their color management needs. We propose an evaluation process that uses metrics to assess the quality of ICC profiles, ... -
Using microdialysis to administer and assess drugs aimed at attenuating Alzheimer’s disease-related neuropathology
(Master thesis, 2021)Alzheimer’s disease is the most common form of dementia and is characterized by the neuropathological hallmarks amyloid-β and neurofibrillary tangles. Despite tremendous efforts in understanding the molecular, pathophysiological, ... -
Using Microfluidics to Study the EOR Potential of Nanocellulose
(Master thesis, 2018)As many of the existing oil reservoirs show declining production, there is a need for research on enhanced oil recovery (EOR) techniques that can accelerate further production. The use of nanoparticles to enhance oil ...