Blar i Faculty of Science and Technology på tittel
Viser treff 5063-5082 av 7092
-
Pricing efficiency across destination markets for Norwegian salmon exports
(Journal article; Peer reviewed, 2019-02)This paper investigates how pricing efficiency of Norwegian salmon exports varies across destination market characteristics. Efficiency is defined as the rate at which individual transaction prices adjust to common market ... -
Primordial Gravitational Waves with LISA
(Journal article; Peer reviewed, 2017)Primordial Gravitational Waves are the next target of modern cosmology. They represent a window on the early Universe and the only probe of the physics and microphysics of the inflationary period. When the production of ... -
Primær analyse av catalase i Arabidopsis thaliana
(Masteroppgave/UIS-TN-IMN/2012;, Master thesis, 2012)Catalase is involved in the protection of the cell against reactive oxygen species (ROS), though the detoxification of hydrogen peroxide (H2O2) in the peroxisomes. If not destroyed or controlled ROS can lead to damage of ... -
Principle Component Analysis as a Method For Error Covariance Matrix Inflation
(Masteroppgave/UIS-TN-IER/2019;, Master thesis, 2019-07-13)An oil and gas discovery goes through a multiple-stage process to increase the understanding of the asset in hand. By increasing the understanding of the field, production plan gains extra credibility and the uncertainty ... -
Prinsipper for vurdering og håndtering av risiko i forbindelse med bevaring av norske arter
(Masteroppgave/UIS-TN-IØRP/2017;, Master thesis, 2017-06-14)Norge er i dag et land med et rikt dyre- og planteliv. Dette er noe vi vil fortsette med, og vi har en organisasjon i Norge, Artsdatabanken, som jobber for at vi kan akkurat det. Artsdatabanken gjør risikovurderinger for ... -
Prioritering av korrektivt vedlikehold på tekniske barrierelementer i driftsfasen
(Masteroppgave/UIS-TN-IØRP/2018;, Master thesis, 2018-12-09)I norsk petroleumsvirksomhet stilles det krav til operatørselskaper om sikker og effektiv utnyttelse av ressurser og verdiskapning. Dette innebærer regelverkskrav til helse, miljø og sikkerhet som skal ivaretas på olje- ... -
Prioriteringskriterier i helsetjenesten - Om riktigheten av bruk av samme kriterier for prioritering på helsetjenestens fire nivåer
(Masteroppgave/UIS-TN-IØRP/2017;, Master thesis, 2017-06-15)Begrensede ressurser fører utelukkende til et behov for å prioritere hvordan ressursene skal benyttes. Helsetjenesten er intet unntak og med en befolkning som bare krever mer og mer av allerede begrensede ressurser oppstår ... -
Prisvolatilitet i råvaremarkedet
(Masteroppgave/UIS-TN-IØRP/2013;, Master thesis, 2013-06-10)Alle råvaremarkeder er utsatt for prisvolatilitet. I forskjellig grad er en rekke faktorer er med å påvirke dette. Olje har som kjent vært en veldig volatil råvare opp igjennom årene, hvor finanskrisen i 2008 står som den ... -
Privacy of 5G Enabled Networks: Homomorphic Encryption based Privacy-Preserving Machine Learning
(Master thesis, 2023)Homomorphic encryption (HE) is a technique that allows computations to be performed on encrypted data, just as if the data were unencrypted. This has numerous potential applications, such as sensitive medical data, mainly ... -
Privacy preserving for Big Data Analysis
(Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013)The Safer@Home [6] project at the University of Stavanger aims to create a smart home system capturing sensor data from homes into it’s data cluster. To provide assistive services through data analytic technologies, ... -
A Privacy-Preserving and Transparent Certification System for Digital Credentials
(Peer reviewed; Journal article, 2023)A certification system is responsible for issuing digital credentials, which attest claims about a subject, e.g., an academic diploma. Such credentials are valuable for individuals and society, and widespread adoption ... -
Privacy-Preserving Machine Learning for Health Institutes
(Master thesis, 2022)Medical data is, due to its nature, often susceptible to data privacy and security concerns. The identity of a person can be derived from medical data. Federated learning, one type of machine learning technique, is popularly ... -
Probabilistic blowout risk in former disputed area southeast in the Norwegian part of the Barents Sea.
(Masteroppgave/UIS-TN-IMN/2012;, Master thesis, 2012)The maritime delimitation in the former disputed area between Norway and Russia was agreed upon in 2011. It is therefore probable that the area will be opened for petroleum exploration in the near future. A blowout represents ... -
Probabilistic decline curve analysis with multiple models
(Master thesis, 2022)Numerical models have been established to help understand the longevity of projects when exploring and drilling for hydrocarbons. They aid in understanding and optimizing decisions on the long-term feasibility of a project ... -
Probabilistic Field Mapping for Product Search
(Journal article, 2015)This paper describes our participation in the product search task of the CLEF 2015 LL4IR Lab. Working within a generative language modeling framework, we represent products as semi-structured documents. Our focus is on ... -
Probabilistic field mapping for product search
(Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06)Online shopping has shown a rapid growth in the last few years. Robust search systems are arguably fundamental to e-commerce sites. Most importantly, sites should have smart retrieval systems to present optimized ... -
A probabilistic function to model the relationship between quality of chest compressions and the physiological response for patients in cardiac arrest
(Peer reviewed; Journal article, 2020)Cardiopulmonary resuscitation quality (CPRQ) parameters can be derived from electric signals obtained during resuscitation. We propose to model a probabilistic relationship between CPRQ parameters and the physiological ... -
A probabilistic function to model the relationship between quality of chest compressions and the physiological response for patients in cardiac arrest
(Peer reviewed; Journal article, 2020) -
Probabilistic Machine Learning for Production Optimization Under Uncertainty
(Master thesis, 2023)This thesis investigates the application of Bayesian Optimization (BO) in the optimization of the Expected Net Present Value (ENPV) for oil field development. The objective is to maximize the ENPV while reducing the ... -
Probabilistic model-error assessment of deep learning proxies: an application to real-time inversion of borehole electromagnetic measurements
(Peer reviewed; Journal article, 2022)The advent of fast sensing technologies allow for real-time model updates in many applications where the model parameters are uncertain. Once the observations are collected, Bayesian algorithms offer a pathway for real-time ...