Blar i Universitetet i Stavanger på emneord "machine learning"
Viser treff 1-20 av 37
-
Advanced Deep Learning for Whale detection in VHR Satellite Images
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)With the use of very high resolution (VHR) satellite images we can locate whales. In this thesis, I have experimented with different advanced architectures in Deep Learning to detect whales in satellite images. I have also ... -
Analyse og presentasjon av Mars rover data
(Masteroppgave/UIS-TN-IDE/2020;;, Master thesis, 2020-07-15)Space-crafts and their instruments tend to collect way more data on their missions than what can be transmitted back to earth in a timely manner. This leads to the need to prioritize what data is to be downloaded and what ... -
Analysis of Residential Household Energy Consumption Using Smart Meter Data
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)The need to change the source of electricity generation is apparent in the effect of climate change on the environment. Asides from the source change to renewable energy, the necessity for residents to understand their ... -
Automated Trading System using Machine Learning
(Masteroppgave/UIS-TN-ISØP/2019;, Master thesis, 2019-06-15)This thesis investigates how machine learning can be applied in automated trading systems. To this end, an automated trading system driven by machine learning algorithms is developed. The system’s design is inspired by ... -
Automated Well Monitoring: Machine Learning and Web Application
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)The challenge within the oil and gas industry is that of complexity and therefore cost, specifically due to the tough working environments and delays/downtime . Therefore, digitization is proposed as a cost saving opportunity ... -
Biometric Authentication from ECG Signals on Wearable Devices
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-14)Biometric authentication is currently being used for numerous devices; such as mobile phones, computers, etc. However, for now, the only authentication methods for wearable devices are those of passwords and pin codes. The ... -
Categorising offshore wind turbine installations, and investigating the weather impact during installations.
(Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)Categorising offshore wind turbine installations, and investigating the weather impact during installations. -
Comparison of Machine Learning Services
(Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06)In this paper, three Cloud Machine Learning services are considered using the same dataset to run predictions on each of them. These services are quantitatively and qualitatively analyzed and compared by considering their ... -
Data Analysis for Physical Activity Monitoring
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)Physical activity is essential for humans for maintaining a healthy and comfortable lifestyle. With science and technological advancements, there comes various guidelines for the amount of physical activity a person ... -
Data Driven ROP Modeling - Analysis and Feasibility Study
(Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020-07-15)Increasing the drilling speed in wells while maintaining the operational safety standards is a challenge that many Petroleum Engineers have undertaken. In recent years, high complexity wells (Horizontal, Extended Reach, ... -
Decreasing Manual Workload by Automating SAP Travel Expense Workflows
(Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)In the 21st century, efficiency is a key focus for several organisations, and because of this, machine learning and process automation is getting a lot of attention. The Norwegian Government Agency of Financial Management ... -
Deep Neural Attention for Misinformation and Deception Detection
(PhD thesis UiS;, Doctoral thesis, 2021-06)At present the influence of social media on society is so much that without it life seems to have no meaning for many. This kind of over-reliance on social media gives an opportunity to the anarchic elements to take undue ... -
ETL and analysis of IoT data using OpenTSDB, Kafka, and Spark
(Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06)The Internet of Things (IoT) is becoming increasingly prevalent in today's society. Innovations in storage and processing methodologies enable the processing of large amounts of data in a scalable manner, and generation ... -
Evaluation of machine learning for optimization and anomaly detection in offshore drilling operations.
(Masteroppgave/UIS-TN-IMBM/2019;, Master thesis, 2019-07-10)Studies of drilling operation have been focused on control parameter optimization to improve the rate of penetration and mechanical specific energy. Drilling is a complex operation with uncontrolled parameters and disturbances ... -
Fake News Detection A Deep Neural Network
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)News is an important source of information for people.Identifying the inaccurate news is a difficult problem. Fake news, defined by the New York Times ”as a made-up story with an intention to deceive”, often for a secondary ... -
Information Retrieval using applied Supervised Learning for Personalized E-Commerce
(Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)Personalized E-Commerce Search Challenge issued by the International Conference on Information and Knowledge Management. By analyzing historical data containing browsing logs, queries, user interactions, and static data ... -
Integrated Modelling and Simulation of Wellbore Heat Transfer Processes through High-level Programming, Sensitivity Analysis and Initial Approach with Machine Learning Predictive Models
(Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020-06-30)During designing of downhole systems and selecting equipment and materials, engineers must consider in-situ conditions before taking decisions in order to be able to handle any operation in a safe and adequate manner. The ... -
Integration of Neural Networks and Wellbore Stability, a Modern Approach to Recognize Drilling Problems Through Computer Vision and Machine Learning
(Masteroppgave/UIS-TN-IEP/2019;, Master thesis, 2019-06-15)Cavings are an endless and valuable source of information when drilling operations is being performed. Multiple parameters can contribute to produce cavings which indicate that failure has occurred or is about to occur ... -
Intelligent supply and demand for marine protein factory (based on MindSphere platform)
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-23)The purpose of this project is to collect Internet Of Things data from available sources in the value chain. Our viewpoint to observe IoT data streams from all different processes in the factory as well as get an ... -
A LSSVR-PSO machine learning model for the estimation of reservoir porosity from petrophysical well logs
(Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020-06-10)Reservoir porosity is a key parameter in the reservoir evaluation and geomechanics. To obtain accurate measurement of porosity can be time-consuming and expensive by core sampling or applying various well logging tools. ...