Blar i Department of Electrical and Computer Engineering (TN-IDE) 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 ... -
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 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 ... -
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 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 ... -
Predictive Analytics for Maintaining Power System Stability in Smart Energy Communities
(PhD thesis UiS;, Doctoral thesis, 2021-05)Digitalization and decentralization of energy supply have introduced several challenges to emerging power grids known as smart grids. One of the significant challenges, on the demand side, is preserving the stability of the ... -
Predictive Maintenance for Lift Systems in Automated Storage and Retrieval Systems
(Master thesis, 2023)This thesis, conducted in partnership with AutoStore, examines the potential of predictive maintenance (PM) in the lift systems of their automated storage and retrieval robots. In the context of Industry 4.0, PM becomes ... -
Predictive maintenance with industrial sensor data
(Master thesis, 2023)The Norwegian Ministry of Petroleum and Energy Commissions report shows that the government is making a large step closer to its ambition of allocating regions for 30,000 MW offshore wind via way of means of 2040. According ... -
Predictive modeling of trust to social media content
(Masteroppgave/UIS-TN-IDE/2014;, Master thesis, 2014-06-27)In recent years, social networking sites have got a massive popularity because they let people to devise a public profile within a tied system. As the popularity increases and they became widely used as one of the important ... -
Prediksjon av trykk i brønner under boreoperasjoner ved bruk av maskinlæringsteknikker
(Master thesis, 2023)Denne avhandlingen undersøker bruken av maskinlæring (ML)-algoritmer for prediksjon av trykkstigning og trykksenkning under boring i olje- og gassektoren. Disse trykkene er avgjørende for å opprettholde brønnstabilitet og ... -
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 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 ...