• Contextual Conversational Recommendation in the Movie Domain 

  Güzel, Bora (Master thesis, 2024)

  The purpose of a Context-aware Conversational Recommender System is to address the limitations of traditional recommender systems, which often overlook the broader context in favor of past user preferences and movie ...

• Optimization of Deep Learning Techniques for Real-Time Detection and Tracking of Marine Species utilizing YOLOv8 and Deep SORT Algorithms 

  Abo Jouhain,Alaa (Master thesis, 2024)

  Monitoring coastal seafloor vegetation is crucial for preserving biodiversity, supporting ecosystems, and ensuring sustainable fisheries. Various methods like remote sensing, surveys, and DNA collection provide detailed ...

• Automatic Generation of Presentations for Research Papers 

  Stava, Tor Olav (Master thesis, 2024)

  This thesis presents a method for automatically generating presentations from academic research papers using Large Language Models (LLMs). The goal is to present a method that will help academics save time in generating ...

• UiS4ADL Edge HAR: Design of Human Activity Recognition Model For Edge Devices Using STM32 and Thingy 53 

  Fattnes, Aleksander Odland (Master thesis, 2024)

  Human Activity Recognition (HAR) is crucial in various fields such as healthcare, fitness monitoring, and home automation. There are many Activities of Daily Living (ADLs) recognition approaches that focuses on broad-scale ...

• Heart rhythm interpretation during cardiopulmonary resuscitation using CNN-Based deep learning models 

  Amdal, Øystein Tykhelle (Master thesis, 2024)

  In 2022, 45.947 [1] people died in Norway and of them 3881 people [2] died from out-of-hospital cardiac arrest. Current automated external defibrillator (AED) utilizes algorithms to detect if the patient heart rhythm is a ...

• Multimodal AI for Stimulation Detection in Newborn Resuscitation 

  Mikkelsen, Sindre; Udtian, Marianne (Master thesis, 2024)

  This master’s thesis investigates the development of a stimulation detection system for neonatal resuscitation using deep neural networks. The objective was to create a reliable detection system utilizing video recordings, ...

• Multimodal AI for Stimulation Detection in Newborn Resuscitation 

  Udtian, Marianne.; Mikkelsen, Sindre. (Master thesis, 2024)

• Deep learning-based probability indicator for benign change in heart rhythm Dyplæringsbasert sannsynlighetsindikator for godartet tilstandsendring 

  Kvamme, Halvor Neergaard (Master thesis, 2024)

• Synthesizing Computed Tomography Perfusion Data for Ischemic Stroke Patients Using Generative Adversarial Networks 

  Hassan, Ahmed Abdullahi; Gacenga, Hosea Ciuti (Master thesis, 2024)

• Using deep learning to predict traffic congestion in road tunnels 

  Aravindan, Vinothini; Kumar, Parvathy Anil (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2024)

  Tunnels are a critical component of Norway’s transportation infrastructure, cutting through its rugged landscapes to facilitate the smooth movement of people and goods across the country. Given the constrained nature of ...

• Interpretable artificial intelligence in prostate cancer through radiomics features 

  Harjo, Sondre (Master thesis, 2024)

  Prostate cancer (PCa) is the second most common cancer among men and the fourth most commonly diagnosed cancer worldwide. In 2020, approximately 1,414,259 new cases of PCa were reported. Traditional diagnostic methods for ...

• Identification of Electrical Devices Using Machine Learning: A Study in Collaboration with Origin AS 

  Jarczyk Konrad (Master thesis, 2024)

  This thesis aimed to develop reliable methods for identifying electrical devices in a household based on aggregate electrical signals from a main electric monitor. The study involved creating or obtaining a suitable dataset, ...

• Cybersecurity: Threat Modeling of Maritime Autonomous Surface Ship 

  Devkota, Dikshant (Master thesis, 2024)

  As the world is keen on technological advancement, the maritime industry has also seen its fair share of development. The Maritime Autonomous Surface Ships (MASS) stand as proof of the novel innovation done in this industry, ...

• Agent-based chatbot in corporate environment 

  Dybedokken, Ole; Nilsen, Henrik (Master thesis, 2024)

  The rapidly increasing interest in Artificial Intelligence (AI) has spurred major corporations to continuously innovate, particularly in the development of autonomous agents aimed at generating subscription-based revenue. ...

• Allocating Network Services in Space Air Ground Integrated Networks with Federated Deep Reinforcement Learning 

  Mydland, Benjamin (Master thesis, 2024)

  Space-Air-Ground Integrated Networks (SAGINs) are proving to be an interesting, and increasingly feasible with the rise of Internet providers like Starlink. This, in addition to increasing awareness of virtualization ...

• Large Language Model Empowered Automated Well Agent 

  Sundal, Ove (Master thesis, 2024)

• Synthesizing Computed Tomography Perfusion Data for Ischemic Stroke Patients Using Generative Adversarial Networks 

  Hassan, Ahmed Abdullahi; Gacenga, Hosea Ciuti (Master thesis, 2024)

• Data mining & machine learning for identifying green investment opportunities 

  Chandler, Benjamin Alexander; Eiring, Erlend (Master thesis, 2024)

• Cloud Infrastructure Security Hardening 

  Gaupset, Vebjørn Ostnes (Master thesis, 2024)

• Identifiserbarhet og parameterestimering ved bruk av Kalmanfilter anvendt på biologiske modeller 

  Overland, Malin Harr (Master thesis, 2024)

  For biologiske modeller er ofte tilgjengelige målinger svært begrenset eller behøver dyrt utstyr. Derfor er det nødvendig å optimalisere design av modeller, for å finne ut hvor mange og hvilke målinger som er nødvendige. ...

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