Blar i Studentoppgaver (TN-IDE) på tittel

Fact Checking using Knowledge Bases

Khurshid Adil; Ramesh Apoorva (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

Ramesh, Apoorva; Khurshid, Adil (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 ...

Fairness and Ethics in AI

Chakravorty Antorweep (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

Weinbach, Bjørn Christian (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

Botnevik, Bjarte (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

Chennam Lakhsmikumar, Priyanka (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

Freeman, Eric (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 ...

Feature extraction for exploring infarcted regions in perfusion CT images of the brain

Hovland, Eivind (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

Hesseberg, Ruben; Minne, Petter (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 ...

Finger and gesture recognition with Microsoft Kinect

Ryan, Daniel James (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

Skjæveland, Ruben; Ånestad, Lasse (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

Ånestad, Lasse; Skjæveland, Ruben (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

Liao, Wei (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

Wondimagegnehu Seblewongel (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 ...

Following Moving Objects Using Externally Guided Motion (EGM).

Mæhre, Ørjan (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 ...

For-studie av automatiske hendelsesdeteksjon systemer i veitunneler basert på dype nevrale nettverk og videoovervåknings kameraer

Vedvik, Aleksander (Bachelor thesis, 2022)

Ulykker i veitunneler kan ha store konsekvenser. Automatisk hendelesesdeteksjons (AID) systemer kan hjelpe å redusere ulykkesgraden ved å sørge for rask respons fra vegvesenet. Dermed er AID høyt etterspurt, men også ...