Blar i Universitetet i Stavanger på tittel
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Pre-study on Wireless Communication lab: medium access control
(Bachelor thesis, 2023)This thesis aims to create a series of exercises to help students understand wireless communication MAC schemes better. We did this by finding the right tool to help us create good exercises. The right tools for the exercises ... -
Pre-study on Wireless Communication lab: medium access control
(Bachelor thesis, 2023)This thesis aims to create a series of exercises to help students understand wireless communication MAC schemes better. We did this by finding the right tool to help us create good exercises. The right tools for the exercises ... -
Pre-Treatment Of Drill Cuttings
(Masteroppgave/UIS-TN-IMN/2016;, Master thesis, 2016-06)The need for more environmental and economical solutions to treat drilling waste offshore led Norwegian-Group AS to develop a novel technology. This technology is based on microwave processing of drilling waste. The ... -
Pre/post-production uncertainty analysis applied on the Hyme field
(Masteroppgave/UIS-TN-IPT/2013;, Master thesis, 2013-06)The objective of this master thesis is to quantify how the estimated uncertainty, associated with the Hyme field, will change as more data becomes available. This will be done by identifying the key uncertainties and ... -
Preanalytical stability of plasma biomarkers for Alzheimer's disease pathology
(Peer reviewed; Journal article, 2023)Introduction Plasma tests have demonstrated high diagnostic accuracy for identifying Alzheimer's disease pathology. To facilitate the transition to clinical utility, we assessed whether plasma storage duration and temperature ... -
PRECISE COMPUTATION OF MODULI SPACE FOR STANDARD EMBEDDING.
(Master thesis, 2023)This thesis has undertaken the task of clearly defining the full heterotic moduli space for E_8 x E_8 heterotic string theory in standard embedding while utilizing the mathematical tools offered by the deformation theory ... -
Predict the flow of well fluids : a big data approach
(Master thesis, 2014-06-26)In the oil and gas industry, millions of records of data are registered every day. The data is composed by a mix of structured and unstructured sources. For example downhole gauges and wellhead sensors are logging pressure ... -
Predicting an unstable tear film through artificial intelligence
(Peer reviewed; Journal article, 2022)Dry eye disease is one of the most common ophthalmological complaints and is defined by a loss of tear film homeostasis. Establishing a diagnosis can be time-consuming, resource demanding and unpleasant for the patient. ... -
Predicting appointment attendance at an outpatient clinic
(Master thesis, 2021)Abstract Background and aim: No-show, refers to patients who do not show up in the scheduled appointment, which is a serious problem for many years in the hospital. Also, the no-show rates differ in countries because of ... -
Predicting parton energy loss in small collision systems
(Peer reviewed; Journal article, 2021)Medium induced parton energy loss is not conclusively established either in very peripheral heavy-ion collisions or in proton-ion collisions. However, the standard interpretation of azimuthal momentum anisotropies in these ... -
Predicting popularity of Reddit posts using machine learning
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)Using data from the social network Reddit, we see if there are ways to predict if a submission will gain popularity, going into detail in components of a Reddit post, and try to determine if it will be successful. Analyzing ... -
Predicting reliability data for components in Wax Control System. (Subsea 7)
(Master thesis, 2021)The oil and gas industry has been motivated towards pushing the research and development of subsea systems. A core element of this development is to design these systems with high reliability to insure productivity and ... -
Predicting the Cancer Tumor Position in Liver Using Finite Element Analysis (FEA) and Artificial Intelligence (AI)
(Master thesis, 2021)The computational power and advantages of the Finite Element Method (FEM) are noticeable. When dealing with high nonlinearity of the materials and geometrical complexity, FEM is a powerful solution, depending on the correct ... -
Prediction efficiency of immiscible Water Alternating Gas Performance by LSSVM-PSO algorithms
(Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020)In this work the aim is developing LSSVM-PSO model capable of capturing the interplay between the most influential parameters (mechanisms) and recovery factor (RF) of WAG process in layered reservoirs. In a previous work ... -
Prediction of death rates for cardiovascular diseases and cancers
(Peer reviewed; Journal article, 2023)Background To estimate cardiovascular and cancer death rates by regions and time periods. Design Novel statistical methods were used to analyze clinical surveillance data. Methods A multicenter, population-based ... -
Prediction of dispersions and emulsions by using LedaFlow Q3D
(Masteroppgave/UIS-TN-IPT/2017;, Master thesis, 2017-06-15)Well streams in pipelines are often transported over relatively long distances. The well streams often consist of simultaneous flow of gas, oil and water. Oil and water affect each other by making emulsions, which influence ... -
Prediction of Downhole Pressure while Tripping into wellbore during Drilling Operations using Machine Learning Techniques
(Master thesis, 2022)Surge and swab pressure occur while tripping in and out, respectively, of a wellbore during drilling operations. High tripping speed can lead to fracturing the well formation, whereas low tripping speed can lead to an ... -
Prediction of Downhole Pressure while Tripping into wellbore during Drilling Operations using Machine Learning Techniques
(Master thesis, 2022)Surge and swab pressure occur while tripping in and out, respectively, of a wellbore during drilling operations. High tripping speed can lead to fracturing the well formation, whereas low tripping speed can lead to an ... -
Prediction of Energy Consumption Peak in Household by using LSTM & MLP
(Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)Accurate peak load forecasting plays a key role in operation and planning of electrical power generation. To minimize the operating cost, electric suppliers use forecasted peak load to control the number of running generator ... -
Prediction of extreme cargo ship panel stresses by using deconvolution
(Peer reviewed; Journal article, 2022)Extreme value predictions typically originate from certain functional classes of statistical distributions to fit the data and are subsequently extrapolated. This paper describes an alternative method for extrapolation ...