• A conversational framework for mulitple modalities 

      Henriksen, Rune; Mosand, Sinde E. (Bachelor thesis, 2022)
      This paper is concerned with creating conversations around the ECIR conference with multiple modalities. We use a Furhat robot from Furhat robotics to have a physical presence and handle voice. Rasa addresses the AI component ...
    • A conversational framework for multiple modalities 

      Henriksen, Rune; Mosand, Sindre (Bachelor thesis, 2022)
      This paper is concerned with creating conversations around the ECIR conference with multiple modalities. We use a Furhat robot from Furhat robotics to have a physical presence and handle voice. Rasa addresses the AI component ...
    • A Conversational Recommender Skill for Conference Content 

      Havn-Sørensen, Sander; Thu Dørheim, Eyvinn (Bachelor thesis, 2022)
      Conversational information access systems aim to assist users in task-oriented exchanges of information in a conversational manner. Supporting multiple user goals, such as informational search, recommendation and exploratory ...
    • A Conversational Recommender Skill for Conference Content 

      Dørheim, Eyvinn Thu; Sørensen, Sander Havn (Bachelor thesis, 2022)
      Conversational information access systems aim to assist users in task-oriented exchanges of information in a conversational manner. Supporting multiple user goals, such as informational search, recommendation and exploratory ...
    • A Deep Learning Approach to Generating Human Faces in 3D Media 

      Carlsson, Tor Håkon (Master thesis, 2023)
      This paper proposes new machine learning architectures for generating face meshes that can be used in 3D media. They are based on the architecture introduced in "pix2pix: Image-to-image translation with a conditional GAN". ...
    • A Federated Computational Workflow for Analysis of DISKOS Digital Palynological Slides 

      Udegbunam, John Emeka; Gonzalez, Reynel Isaac Villabona (Master thesis, 2023)
      A novel federated computational workflow for analyzing digital palynological slide images is implemented in this thesis. The slide data files, typically exceeding 3GB, present significant data mobility and computation ...
    • A General Infrastructure for Communication between Petri Modules 

      Ahmed, MD Suhel (Master thesis, 2021)
      Modularization provides many benefits to real-world discrete-event systems, such as flexibility, comprehensibility, and robustness. Davidrajuh[2] presents a new modular Petri net with well-defined Petri modules. With the ...
    • A Machine Learning approach for Building Segmentation using laser data 

      Finnesand, Erik (Master thesis, 2023)
      Buildings are essential for population information, city management, and policy-making. Various computer vision technologies have proven helpful in building-related scenarios, where segmentation has proven to be the most ...
    • A Multi-class Dementia Classification Assessment Utilizing GAN to Convert MRI Scans from the 1.5T Domain to the 3.0T Domain 

      Godal, Håvard (Master thesis, 2022)
      Dementia is the seventh leading cause of death among all diseases and increases rapidly. With 10 million new cases every year, research is crucial for finding a treatment to cure dementia in the future. Magnetic resonance ...
    • A Practical Analysis of the Gorums Framework: A Case Study on Replicated Services with Raft 

      Pedersen, Sebastian Mæland (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)
      Gorums is a novel RPC framework developed to make it easier to build fault tolerant distributed systems. We want to assess whether Gorums can simplify the implementation of a practical fault tolerant service that supports ...
    • A Study on Physics Informed Neural Networks, with Applications for Compartment Models 

      Lukerstuen, Lars B. (Master thesis, 2022)
      The main goal of this thesis was to investigate the methodology of Physics Informed Neural Networks (PiNN), as a computational tool leveraging differential equations as a regularization for a learning task. PiNN is a new ...
    • A system for automatic cultivation of microogranisms in the biology laboratory 

      Arnesen, Stian; Haugen, Vidar (Master thesis, 2021)
      Currently, the biology laboratory at the University of Stavanger has a manually controlled microorganism cultivation setup used for studying different types of biological wastewater treatment. The setup uses a sequencing ...
    • A system for automatic cultivation of microorganisms in the biology laboratory. 

      Arnesen, Stian; Haugen, Vidar (Master thesis, 2021)
      Currently, the biology laboratory at the University of Stavanger has a manually controlled microorganism cultivation setup used for studying different types of biological wastewater treatment. The setup uses a sequencing ...
    • A Web Based Solution to Track Trawl Vessel Activities Over Pipelines in Norwegian Continental Shelf 

      Palanisamy, Anandhakumar (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
      Vessel Activities such as trawling and anchoring represent a risk to offshore marine structures such as pipelines, subsea structures, cables and platforms. Third party interference is a major contributor to the damage and ...
    • Acropolis: aggregated client request ordering by Paxos 

      Jothen, Stephen Michael (Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013)
      The consensus problem is one of the most central problems in distributed system. Paxos, an algorithm that solves this problem, can be used to im- plement replicated state machines (RSMs). By running Paxos for each of the ...
    • Active Noise Control in the Offshore Industry 

      Mehus, Haakon (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-29)
      Hearing damage among offshore workers has been a problem for many years, and it remains one of the most common disorders in this group. A proposal to use active noise control to improve the noise conditions has thus been ...
    • Adapt and Generalize Deep Learning Methods for Activity Recognition on Newborn Resuscitation Videos 

      Lapin, Håvard (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      Low- and middle-income countries have nearly 99 % of deaths of children under 28 days. Complications during childbirths, such as birth asphyxia, account for most of these deaths. To prevent this, strengthening the quality ...
    • Adaptive Digitale Filtre 

      Raghe, Mohammed Hassan; Hassan, Ahmed Abdullahi (Bachelor thesis, 2022)
      I adaptiv filtrering er LMS-algoritmen den enkleste, og mest brukte algo- ritmen. Fordi den er enkel har den en del svakheter. Et bedre filter vil da være NSAF-algoritmen som krever mye beregningskraft, men har ...
    • Adaptive digitale filtre 

      Hassan, Ahmed Abdullahi; Raghe, Mohammed Hassan (Bachelor thesis, 2022)
      I adaptiv filtrering er LMS-algoritmen den enkleste, og mest brukte algoritmen. Fordi den er enkel har den en del svakheter. Et bedre filter vil da være NSAF-algoritmen som krever mye beregningskraft, men har god ...
    • Adaptive Selection and Delivery of Rich Media Notifications to Mobile Users 

      Jonassen, Mats (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      The ongoing increase in cellular network coverage is steadily increasing the availability of individuals all around the world. This availability enables notification solutions to achieve their goals of announcing new ...