Browsing Publikasjoner fra CRIStin - NTNU by Title
Now showing items 35848-35867 of 37304
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Using Fiber-Optic Sensors to Give Insight into Liquid-Solid Phase Transitions in Pure Fluids and Mixtures
(Peer reviewed; Journal article, 2020)Fiber optic sensors offer a new and unique way to detect and analyze phase transitions, due to their small thermal mass and inert material. This paper presents and demonstrates a dual-sensor system to detect and analyze ... -
Using Financial Instruments to Transfer the Information Security Risks
(Journal article; Peer reviewed, 2016)For many individuals and organizations, cyber-insurance is the most practical and only way of handling a major financial impact of an information security event. However, the cyber-insurance market suffers from the problem ... -
Using Game Development to Teach Software Architecture
(Journal article; Peer reviewed, 2011)This paper describes a case study of how a game project using the XNA Game Studio from Microsoft was implemented in a software architecture course. In this project, university students have to construct and design a type ... -
Using game theory to stimulate provision of local public facilities
(Journal article; Peer reviewed, 2017)Purpose To study how the central government can use well-known game theoretical concepts in order to stimulate provision of local public facilities. Design/methodology/approach The authors use the classical adverse selection ... -
Using Game-Based Learning to Prompt Reflective and Holistic Thinking in Project Management
(Chapter, 2021)In this chapter, we argue that the strength of game-based learning is not restricted to improving motivation or engagement to learn project management concepts and methods. We demonstrate that game-based learning approach ... -
Using genetic algorithms to improve the reliability of dual homed wireless critical services
(Chapter, 2014)The wireless access to any service in different contexts is nowadays taken for granted. However, the dependability requirements are different for various services and contexts. Critical services put high requirement on the ... -
Using Genomic Structural Equation Modeling to Partition the Genetic Covariance Between Birthweight and Cardiometabolic Risk Factors into Maternal and Offspring Components in the Norwegian HUNT Study
(Peer reviewed; Journal article, 2022)The Barker Hypothesis posits that adverse intrauterine environments result in fetal growth restriction and increased risk of cardiometabolic disease through developmental compensations. Here we introduce a new statistical ... -
Using in silico predicted ancestral genomes to improve the efficiency of paleogenome reconstruction
(Peer reviewed; Journal article, 2020)Paleogenomics is the nascent discipline concerned with sequencing and analysis of genome‐scale information from historic, ancient, and even extinct samples. While once inconceivable due to the challenges of DNA damage, ... -
Using informed access network selection to improve HTTP adaptive streaming performance
(Chapter, 2020)As end-user devices often have multiple access networks available, choosing the most suitable network can help to improve application performance and user experience. However, selecting the best access network for HTTP ... -
Using Intervention Mapping to Develop a Decision Support System–Based Smartphone App (selfBACK) to Support Self-management of Nonspecific Low Back Pain: Development and Usability Study
(Peer reviewed; Journal article, 2022)Background: International guidelines consistently endorse the promotion of self-management for people with low back pain (LBP); however, implementation of these guidelines remains a challenge. Digital health interventions, ... -
Using Lagrangian relaxation to locate hydrogen production facilities under uncertain demand: a case study from Norway
(Peer reviewed; Journal article, 2023)Hydrogen is considered a solution to decarbonize the transportation sector, an important step to meet the requirements of the Paris agreement. Even though hydrogen demand is expected to increase over the next years, the ... -
Using Language Models for Classifying the Party Affiliation of Political Texts
(Journal article, 2022) -
Using locational data in a novel mixed-methods sequence design: Identifying critical health care barriers for people with disabilities in Malawi
(Journal article; Peer reviewed, 2021)The primary aim of this study was to determine which health care barriers were most important for people with disabilities in Malawi. To accomplish this, we devised a sequential mixed-methods research design that integrated ... -
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 ...