• 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. ...

• Designing and building a low power, dual output, isolated power supply for use in infrastructure components 

  Jabbour, Ali H. (Master thesis, 2024)

  The goal of this project is to gain competence in low-power power supply design by building a functioning prototype that balances various requirements while maintaining a reasonable cost. The project involves detailed ...

• Elektronikkhus og Kommunikasjonselektronikk med Videooverføring for ROV 

  Naranderan, Shajan; Lumanlan Maglambayan, Paolo (Bachelor thesis, 2024)

• Radiokommunikasjon for rakettt 

  Dennis Can Dülger, Sigmund Ekse, Stian Aksdal Olsen (Bachelor thesis, 2024)

• Design og konstruksjon av kraftforsyningssystem til elektrisk ROV 

  Rysstad, B.Z. (Bachelor thesis, 2024)

View more