Now showing items 1-20 of 1072

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      Hult Karlson, Ådne; Berg, Stian Wiik (Master thesis, 2023)
      Staying in shape is important for physical and mental health. Adding squats to a regular workout routine is beneficial, but performing them correctly and determining the right number of repetitions can be challenging. A ...
    • 3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI 

      Fernandez Quilez, Alvaro; Andersen, Christoffer Gabrielsen; Eftestøl, Trygve Christian; Kjosavik, Svein Reidar; Oppedal, Ketil (Peer reviewed; Journal article, 2023)
      Masked Image Modelling (MIM) has been shown to be an efficient self-supervised learning (SSL) pre-training paradigm when paired with transformer architectures and in the presence of a large amount of unlabelled natural ...
    • 3D Self-Rescue Game for Tunnel Fire 

      Valvik, Dag Hermann Valvik; Haavardtun, Emil; Stjernelund Lien, Audun (Bachelor thesis, 2021)
      This thesis aims to create a 3D game in Unity to practice self-rescue training during emergencies involving fire, using tunnels that are modeled procedurally. Closing down tunnels to practice tunnel safety is cost-inefficient ...
    • 3D Self-Rescue Game for Tunnel Fire 

      Haavardtun, Emil; Stjernelund Lien, Audun; Valvik, Dag Hermann (Bachelor thesis, 2021)
      This thesis aims to create a 3D game in Unity to practice self-rescue training during emergencies involving fire, using tunnels that are modeled procedurally. Closing down tunnels to practice tunnel safety is cost-inefficient ...
    • 3D self-rescue game for tunnel fire 

      Haavardtun, Emil; Lien, Audun Stjernelund; Valvik, Dag Hermann (Bachelor thesis, 2021)
      This thesis aims to create a 3D game in Unity to practice self-rescue training during emergencies involving fire, using tunnels that are modeled procedurally. Closing down tunnels to practice tunnel safety is cost-inefficient ...
    • 5G Network Slicing: A Security Overview 

      Olimid, Ruxandra; Nencioni, Gianfranco (Peer reviewed; Journal article, 2020-05)
      The fifth-generation (5G) of cellular networks is currently under deployment by network operators, and new 5G end-user devices are about to be commercialized by many manufacturers. This is just a first step in the 5G's ...
    • 5G RF Spectrum-based Cryptographic Pseudo Random Number Generation for IoT Security 

      Øksendal, Oddvar Nordbø (Master thesis, 2023)
      This thesis presents a novel approach for generating truly random num- bers in 5G wireless communication systems using the radio frequency (RF) spectrum. The proposed method leverages variations in the RF spectrum to create ...
    • 5G-MEC Testbeds for V2X Applications 

      Wadatkar, Prachi Vinod; Garroppo, Rosario G.; Nencioni, Gianfranco (Peer reviewed; Journal article, 2023-05)
      Fifth-generation (5G) mobile networks fulfill the demands of critical applications, such as Ultra-Reliable Low-Latency Communication (URLLC), particularly in the automotive industry. Vehicular communication requires low ...
    • 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 Novel Approach to Data Extraction on Hyperlinked Webpages 

      Shaukat, Kamran; Masood, Nayyer; Khushi, Matloob (Journal article; Peer reviewed, 2019-11)
      The World Wide Web has an enormous amount of useful data presented as HTML tables. These tables are often linked to other web pages, providing further detailed information to certain attribute values. Extracting schema of ...
    • 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 risk assessment model for selecting cloud service providers 

      Cayirci, Erdal; Garaga, Alexandr; Santana de Oliveira, Anderson; Roudier, Yves (Journal article; Peer reviewed, 2016-09)
      The Cloud Adoption Risk Assessment Model is designed to help cloud customers in assessing the risks that they face by selecting a specific cloud service provider. It evaluates background information obtained from cloud ...