Browsing Universitetet i Stavanger by Title
Now showing items 13305-13324 of 18886
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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 ... -
Prediction of Fatigue Crack Initiation under Variable Amplitude Loading: Literature Review
(Peer reviewed; Journal article, 2023)Metallic materials are widely employed in engineering constructions, and one of the most common failure mechanisms in metals is fatigue failure. Even though metal fatigue has been studied for almost 160 years, many problems ... -
Prediction of long-term extreme response of two-rotor floating wind turbine concept using the modified environmental contour method
(Peer reviewed; Journal article, 2022)The modified environmental contour method (MECM) is assessed for the prediction of 50-year extreme response of a two-rotor floating wind turbine concept (2WT) deployed in two offshore sites in the northern North Sea (Norway ... -
Prediction of mechanical friction forces on casing being run
(Bachelor thesis, 2023)In recent years, advancements in drilling technology have led to increasingly complex wellbore trajectories, particularly in the case of horizontal wells and extended reach wells (ERWs). This complexity necessitates highly ... -
Prediction of Oil Recovery Factor in Stratified Reservoirs after Immiscible Water-Alternating-Gas Injection based on PSO-, GSA-, GWO-, and GA-LSSVM
(Peer reviewed; Journal article, 2022-01)In this study, we solve the challenge of predicting oil recovery factor (RF) in layered heterogeneous reservoirs after 1.5 pore volumes of water-, gas- or water-alternating-gas (WAG) injection. A dataset of ~2500 reservoir ... -
Prediction of Oil Recovery Factor in Stratified Reservoirs after Immiscible Water-Alternating-Gas Injection based on PSO-, GSA-, GWO-, and GA-LSSVM
(Peer reviewed; Journal article, 2022)In this study, we solve the challenge of predicting oil recovery factor (RF) in layered heterogeneous reservoirs after 1.5 pore volumes of water-, gas- or water-alternating-gas (WAG) injection. A dataset of ~2500 reservoir ... -
Prediction of Optimal Production Time during Underground CH4 Storage with Cushion CO2 Using Reservoir Simulations and Artificial Neural Networks
(Peer reviewed; Journal article, 2023)Injection of carbon dioxide (CO2) in aquifers for underground natural gas storage (UNGS) can improve the operating efficiency of the storage facility during gas injection and production and later serve as a solution for ... -
Prediction of permeability of tight sandstones from mercury injection capillary pressure tests assisted by a machine-learning approach
(Peer reviewed; Journal article, 2022)