Blar i Department of Electrical and Computer Engineering (TN-IDE) på tittel
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Fact Checking using Knowledge Bases
(Master thesis, 2022)In today’s society, the spread of incorrect information is becoming an increasingly serious issue. Verifying information using unstructured data, such as a text corpus, can be difficult for all claims since they lack ... -
Fact-Checking using Knowledge bases
(Master thesis, 2022)In today's society, the spread of incorrect information is becoming an increasingly serious issue. Verifying information using unstructured data, such as a text corpus, can be difficult for all claims since they lack ... -
Factors Affecting the Course of Resuscitation From Cardiac Arrest With Pulseless Electrical Activity in Children and Adolescents
(Peer reviewed; Journal article, 2020)Background: Although in-hospital pediatric cardiac arrests and cardiopulmonary resuscitation occur >15,000/year in the US, few studies have assessed which factors affect the course of resuscitation in these patients. We ... -
Fairness and Ethics in AI
(Bachelor thesis, 2021)As the complexity and capabilities of AI technologies continue to increase, they will continue to pose a risk for their users. In this thesis, different techniques have been reviewed to see how the current research proposes ... -
Fairness and Interpretability in Machine Learning Models
(Master thesis, 2022)Machine Learning has become more and more prominent in our daily lives as the Information Age and Fourth industrial revolution progresses. Many of these machine learning systems are evaluated in terms of how accurately ... -
Fake News Data Generation and Augmentation
(Master thesis, 2021)Fake news is becoming an increasingly more significant problem in today's society, especially on social media. The fact-checking field in Data Science is becoming more and more popular as people want to solve this. However, ... -
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 ... -
Fast and Reliable Byzantine Fault Tolerance
(Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06)Byzantine faults, or arbitrary faults, are difficult to handle due to their unknown nature. They include software errors, hardware errors, and malicious behavior. There are several algorithms which handle Byzantine faults ... -
Fault-Tolerant Control Based on Virtual Actuator and Sensor for Discrete-Time Descriptor Systems
(Peer reviewed; Journal article, 2020)This article proposes a fault-tolerant control (FTC) strategy based on virtual actuator and sensor for discrete-time descriptor systems subject to actuator and sensor faults. The fault-tolerant closed-loop system, which ... -
Feature extraction for exploring infarcted regions in perfusion CT images of the brain
(Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)In Norway, over 15 000 people suffer from acute cerebral stroke annually, it is the leading cause of adult long-term severe disability and a significant reason for admission to nursing homes. In Norway it is a prominent ... -
Federated Learning for Dementia Classification in a European Multicentre Dementia Study
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-15)Every year around 10 million people are diagnosed with dementia worldwide. Higher life expectancy and population growth could inflate this number even further in the near future. Currently the diagnostic process of dementia ... -
Field Telemetry Drilling Dataset Modeling with Multivariable Regression, Group Method Data Handling, Artificial Neural Network, and the Proposed Group-Method-Data-Handling-Featured Artificial Neural Network
(Peer reviewed; Journal article, 2024)This paper presents data-driven modeling and a results analysis. Group method data handling (GMDH), multivariable regression (MVR), artificial neuron network (ANN), and new proposed GMDH-featured ANN machine learning ... -
Finding Clusters in Petri Nets An approach based on GPenSIM
(Peer reviewed; Journal article, 2019)Graph theory provides some methods for finding clusters in networks. Clusters reflect the invisible grouping of the elements in a network. This paper presents a new method for finding clusters in networks. In this method, ... -
Finger and gesture recognition with Microsoft Kinect
(Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)The Kinect is a cheap and wildly spread sensor array with some interesting features, such as a depth sensor and full body skeleton tracking. The Kinect SDK does not support finger tracking; We have therefore created ... -
Flaskefylling, små flasker
(Bachelor thesis, 2021)Sammendrag Norwegian Oilfield Supply(NOS) AS har en utdatert produksjonslinje for flaskefylling som behøver oppgradering. Nåværende funksjon til produksjonslinjen er automatisk flaskefylling og korking. Det er hovedesaklig ... -
Flaskefylling, små flasker
(Bachelor thesis, 2021)Norwegian Oilfield Supply(NOS) AS har en utdatert produksjonslinje for flaskefylling som behøver oppgradering. Nåværende funksjon til produksjonslinjen er automatisk flaskefylling og korking. Det er hovedesaklig tre ... -
Fleet scheduling & optimization
(Masteroppgave/UIS-TN-IDE/2014;, Master thesis, 2014-06-15)In this thesis, we introduce a multi-seeds stochastic optimization algorithm for MIRP (Maritime Inventory Routing Problem) in the LNG business. A liquefied natural gas (LNG) producer usually has a liquefaction plan with ... -
Fog Computing for Efficient Power Consumption Predictions in Smart Grids
(Master thesis, 2021)Cloud Computing provides on-demand computing services like software, networking, storage, analytics, and so on over the Internet. However, the explosion of the Internet of Things (IoT) devices and the high volume and variety ... -
Fog Computing for Realizing Smart Neighborhoods in Smart Grids
(Peer reviewed; Journal article, 2020-09)Cloud Computing provides on-demand computing services like software, networking, storage, analytics, and intelligence over the Internet (“the cloud”). But it is facing challenges because of the explosion of the Internet ... -
Following Moving Objects Using Externally Guided Motion (EGM).
(Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)This thesis presents a sensor guided system using Externally Guided Motion (EGM) to reduce the delay from new sensor data is available, to the robot initiates its movement. A suggested solution to follow a disc sliding ...