Browsing Øvrige samlinger by Title
Now showing items 37111-37130 of 38651
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Using Low-Cost Radar Sensors and Action Cameras to Measure Inter-Vehicle Distances in Real-World Truck Platooning
(Peer reviewed; Journal article, 2023) -
Using Low-Cost Sensors to Develop a High Precision Lifting Controller Device for an Overhead Crane—Insights and Hypotheses from Prototyping a Heavy Industrial Internet Project
(Journal article; Peer reviewed, 2018)The Internet of Things (IoT) paradigm envisions a world where everyday things interchange information between each other in a way that allows users to make smarter decisions in a given context. Even though IoT has many ... -
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 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 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 MPC for Managed Pressure Drilling
(Journal article; Peer reviewed, 2013)As production on the Norwegian shelf enters tail production, drilling wells with vanishing pressure windows become more attractive. This motivates use of automatic control systems for improved control of downhole pressure ... -
Using Multimodal Learning Analytics to Explore how Children Experience Educational Motion-Based Touchless Games
(Peer reviewed; Journal article, 2020)Leveraging motion-based touchless games (MBTG) to support children’s learning is appealing and technically challenging. The application of multimodal learning analytics (MMLA) can help researchers to better understand how ... -
Using multiple random index dates with the reverse waiting time distribution improves precision of estimated prescription durations
(Peer reviewed; Journal article, 2021)Purpose To improve the precision of prescription duration estimates when using the reverse waiting time distribution (rWTD). Methods For each patient we uniformly sampled multiple random index dates within a sampling ... -
Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index
(Peer reviewed; Journal article, 2022)Objectives Observational analyses suggest that high bone mineral density (BMD) is a risk factor for osteoarthritis (OA); it is unclear whether this represents a causal effect or shared aetiology and whether these ... -
Using network intervention analysis to explore associations between participant expectations of and difficulties with cognitive behavioural therapy for insomnia and clinical outcome: A proof of principle study
(Peer reviewed; Journal article, 2022)Background Research about predictors of response to cognitive behaviour therapy for insomnia (CBT-I) is ongoing. We examined any whether pre-intervention expectations or post-intervention appraisals of difficulties in ... -
Using neural networks to support high-quality evidence mapping
(Peer reviewed; Journal article, 2021)Abstract Background: The Living Evidence Map Project at the Norwegian Institute of Public Health (NIPH) gives an updated overview of research results and publications. As part of NIPH’s mandate to inform evidence-based ... -
Using Non-linear Integral Models in Automatic Control and Measurement Systems for Sensors’ Input Signals’ Recovery
(Peer reviewed; Journal article, 2020)The article is devoted to developing methods of dynamic correction of signals registered at the output of a non-linear measuring transducer for the purpose to recover its input signal. Dynamic correction leads to decreased ... -
Using NTFS cluster allocation behavior to find the location of user data
(Journal article; Peer reviewed, 2019)Digital forensics is heavily affected by the large and increasing amount of data to be processed. To solve the problem there is ongoing research to find more efficient carving algorithms, use parallel processing in the ... -
Using operational data to estimate the running resistance of trains. Estimation of the resistance in a set of Norwegian tunnels
(Journal article, 2017)Two approaches to estimate the running resistance from operational data have been studied: A direct approach based on a measured/estimated acceleration to obtain a resistance time-series, and a velocity-fitting approach ... -
Using optimization to provide decision support for strategic emergency medical service planning - Three case studies
(Journal article; Peer reviewed, 2019)To achieve high performing emergency medical services (EMS), planning is of vital importance. EMS planners face several challenges when managing ambulance stations and the fleet of ambulances. In this paper, three strategic ... -
Using persistent homology to reveal hidden covariates in systems governed by the kinetic Ising model
(Journal article; Peer reviewed, 2018)We propose a method, based on persistent homology, to uncover topological properties of a priori unknown covariates in a system governed by the kinetic Ising model with time-varying external fields. As its starting point ...