Blar i Department of Electrical and Computer Engineering (TN-IDE) på tittel

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    • Exploring ethical implications of personal relationships in dyadic business exchanges 

      Davidrajuh, Reggie (Journal article; Peer reviewed, 2007)
      This paper explores the ethical implications of the existence of personal relationships in business exchanges. Firstly, this paper introduces personal relationship in business exchanges. Secondly, three normative theories ...

    • Exploring Generative Adversarial Networks to Improve Prostate Segmentation on MRI 

      Larsen, Steinar Valle (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-28)
      Prostate cancer is the second most occurring cancer and the sixth leading cause of cancer death among men worldwide. The number of cases is expected to increase dramatically due to population growth and increased expected ...

    • Exploring the need for a CERT for the Norwegian Construction Sector 

      Skytterholm, Andrea Neverdal; Jaatun, Martin Gilje (Chapter, 2023)
      This paper presents an empirical study on the need for sector-specific CERT capacity in the Norwegian construction sector. Findings from the interviews demonstrate a need for developing competence in ICT security in this ...

    • Exploring the Potential use of Convolutional Neural Networks for Clinically Significant Prostate Cancer Detection through the lens of age 

      Eidissen, Kristoffer; Cardenas, Juan Sebastian (Bachelor thesis, 2023)
      Prostate Cancer (PCa) represents a significant public health challenge in developed nations, with over 5,000 men being diagnosed with the disease annually in Norway alone, rendering it the most frequently occurring cancer ...

    • Extended approach to sum of absolute differences method for improved identification of periods in biomedical time series 

      Wiktorski, Tomasz; Krolak, Aleksandra (Peer reviewed; Journal article, 2020-10)
      Time series are a common data type in biomedical applications. Examples include heart rate, power output, and ECG. One of the typical analysis methods is to determine longest period a subject spent over a given heart rate ...

    • Extended Overview of the Living Labs for Information Retrieval Evaluation (LL4IR) CLEF Lab 2015 

      Schuth, Anne; Balog, Krisztian; Kelly, Liadh (Journal article, 2015)
      In this extended overview paper we discuss the first Living Labs for Information Retrieval Evaluation (LL4IR) lab which was held at CLEF 2015. The idea with living labs is to provide a benchmarking platform for researchers ...

    • Extending enterprise architecture models for cloud computing 

      Pantiuchovas, Dmitrijus (Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)
      The new wave of technology changes has introduced cloud computing. For an enterprise this innovation can bring great cost savings as well as risks. Therefore a special analysis process shall be done before the decision is ...

    • Extending the Snarl File Repair Component for Distributed Storage Systems 

      Stavnes, Eivind; Urdal, Daniel (Master thesis, 2021)
      This thesis extends the Snarl file repair component for distributed storage systems, and evaluates extensions. Snarl is an application using alpha entanglement codes to improve recovery rates of content stored in distributed ...

    • Extending the Snarl File Repair Component for Distributed Storage Systems 

      Stavnes, Eivind; Urdal, Daniel (Master thesis, 2021)
      This thesis extends the Snarl file repair component for distributed storage systems, and evaluates extensions. Snarl is an application using alpha entanglement codes to improve recovery rates of content stored in distributed ...

    • An Extensible Framework for Implementing and Validating Byzantine Fault-tolerant Protocols 

      Gogada, Hanish; Jehl, Leander; Meling, Hein; Olsen, John Ingve (Chapter, 2023-06)
      HotStuff is a Byzantine fault-tolerant state machine replication protocol that incurs linear communication costs to achieve consensus. This linear scalability promoted the protocol to be adopted as the consensus mechanism ...

    • Extracting coronary arteries in angiographic images 

      Moene, Alexander Kvale (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-07-15)
      This master thesis has as propose to extract coronary arteries form angiographic video. With several stability issues with the easy to implement established functions in the time domain and other methods that is far too ...

    • Extracting Petri Modules From Large and Legacy Petri Net Models 

      Davidrajuh, Reggie (Peer reviewed; Journal article, 2020)
      Petri nets, even though very useful for modeling of discrete event systems, suffer from some weaknesses such as huge size, huge state space, and slow in simulation. Due to the huge state space, model checking a Petri net ...

    • 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 ...

    • Factors Affecting the Course of Resuscitation From Cardiac Arrest With Pulseless Electrical Activity in Children and Adolescents 

      Skogvoll, Eirik; Nordseth, Trond; Sutton, Robert M.; Eftestøl, Trygve Christian; Irusta, Unai; Aramendi, Elisabete; Niles, Dana E.; Nadkarni, Vinay M.; Berg, Robert A.; Abella, Benjamin S.; Kvaløy, Jan Terje (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 

      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 ...