Browsing UiS Brage by Subject "machine learning"
Now showing items 21-37 of 37
-
Machine Learning Approach for Risk-Based Inspection Screening Assessment
(Peer reviewed; Journal article, 2019-05)Risk-based inspection (RBI) screening assessment is used to identify equipment that makes a significant contribution to the system's total risk of failure (RoF), so that the RBI detailed assessment can focus on analyzing ... -
Machine Learning Based Approach to Predict Fuel Consumption on Mobile Offshore Drilling Units
(Masteroppgave/UIS-TN-IMBM/2019;, Master thesis, 2019-06-15)The use of machine learning models for optimization and improved decision-making has a great potential in the drilling industry. This thesis demonstrates a model for predicting fuel consumption on the Mobile Offshore ... -
Open shop scheduling in a manufacturing company using machine learning
(Master thesis, 2016-12-12)Scheduling jobs in a manufacturing company that delivers custom products is challenging. Aarbakke is a company that manufactures advanced assemblies for the oil and gas industry. Its existing resource planning tool frequently ... -
Optimization of an Intelligent Autonomous Drilling Rig: Testing and Implementation of Machine Learning and Control Algorithms for Formation Classification, Downhole Vibrations Management and Directional Drilling
(Masteroppgave/UIS-TN-IEP/2019;, Master thesis, 2019-06-14)In recent years, considerable resources have been invested to explore applications for- and to exploit the vast amount of data that gets collected during exploration, drilling and production of oil and gas. Such data will ... -
Prediction of Psychosis in Parkinson’s Patients using Machine Learning
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)Parkinson’s disease is one of the most common neurological disorders with an estimated 6.3 million PD patients worldwide, which makes it a great threat to public health. Psychosis is a common symptom of Parkinson’s disease ... -
Rigorous Connectionist Models to Predict Carbon Dioxide Solubility in Various Ionic Liquids
(Journal article; Peer reviewed, 2020-01)Estimating the solubility of carbon dioxide in ionic liquids, using reliable models, is of paramount importance from both environmental and economic points of view. In this regard, the current research aims at evaluating ... -
Segmentation of infarcted regions in Perfusion CT images by 3D deep learning
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)This thesis explores different Convolutional Neural Network (CNN) approaches to classify and segment infarcted regions from images taken through a Computed Tomography Perfusion (CTP) from patients of the Stavanger’s hospital ... -
Smart Meter Based Load Forecasting for Residential Customers Using Machine Learning Algorithms
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-12)The focus of this thesis is the use of machine learning algorithms to perform next step short term load forecasting on fifty five households in Stavanger, Norway. A dataset containing electricity consumption data for more ... -
A study of Machine Learning application on net-to-gross prediction using seismic horizons. Case Study: The Brent Group - Statfjord Field
(Masteroppgave/UIS-TN-IER/2020;, Master thesis, 2020-07-15)As petroleum geosciences enter the era of big data, this field of study encompass difficult optimization and decision-making in real-world problems. The increasing number, difficulty, and scale of such specific problems ... -
Text Pattern Discovery and Extraction
(Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)This thesis presents a technique for discovering and extracting unknown patterns for structured data. There is no need for pre-knowledge to be able to discover patterns. But by applying pre-knowledge these patterns can be ... -
The Application of Data Analytics and Machine Learning for Formation Classification and Bit Dull Grading Prediction
(Masteroppgave/UIS-TN-IEP/2019;, Master thesis, 2019-06-15)The oil and gas industry, especially its upstream part generates a massive amount of data. The proper data collection and processing are the vital elements of reducing the non-productive time and increasing the drilling ... -
Tweet-based event summarization
(Masteroppgave/UIS-TN-IDE/2014;, Master thesis, 2014-06-12)Social media has become an ever-growing source of information over the last years. Facebook, Twitter, Instagram and other types of social media services have all grown to contain large amounts of data, written by anyone ... -
Use of Machine Learning Techniques for Risk Based Inspection and Integrity Management of Pipeline Systems
(Masteroppgave/UIS-TN-IMBM/2019;, Master thesis, 2019-06-15)This thesis demonstrates the use of machine learning for integrity management and assessment of pipeline integrity using various types of classification algorithms on comprehensive in-line inspection data. Machine learning ... -
Using machine learning for exploratory data analysis and predictive modeling
(Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06)Exploratory data analysis and predictive analytics can be used to extract hidden patterns from data and are becoming increasingly important tools to transform data into information. Machine learning has become a powerful ... -
Using machine learning for exploratory data analysis and predictive models on large datasets
(Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06-15)With the advent of the era of big data, machine learning has been widely used in many technologies and industries, which is able to get computers to learn without being explicitly programmed. As one of the fields of the ... -
Using machine learning to identify flow regimes from capacitance sensor data
(Masteroppgave/UIS-TN-IPT/2016;, Master thesis, 2016-06-29)In this thesis the k-means clustering and a neural network is developed and used to classify capacitance data from multi phase flow in a horizontal tube. Theoretical background for the unsupervised machine learning ... -
Virtual Field Service Ecosystem (VSE) using AR (Augmented Reality) collaboration with SiemensAG
(Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)With the huge advancement of technologies, our viewpoint to see, hear, observe and feel the surroundings around us is changing every single moment. Building a virtual ecosystem is an idea which needs much time and effort. ...