• The Riemannnian LTMADS to solve the Spectral Procrustes problem in Manopt.jl 

  Oddsen, Sander Engen (Master thesis, 2025)

  Prokrustes problemet, som søker en optimal ortogonal transformasjon mellom to matriser, har ulike anvendelser innen matematikk. Forskning har i stor grad fokusert på det ortogonale Prokrustes- problemet, der målfunksjonen ...

• Applications of LLMs for Generating Cyber Security Exercise Scenarios 

  Yamin, Muhammad Mudassar; Hashmi, Ehtesham; Ullah, Mohib; Katt, Basel (Peer reviewed; Journal article, 2024)

  This study proposes a novel approach leveraging Large Language Models (LLMs) to generate dynamic and complex adaptable cybersecurity exercise scenarios. Motivated by Turing’s seminal exploration into machine cognition, ...

• Improved Cook Stoves to Meet Sustainable Development Goal in Ethiopia 

  Tesfay, Asfafaw Haileselassie; Kahsay, Mulu Bayray; Geleta, Abenezer Bekele (Journal article; Peer reviewed, 2024)

  The 2030 sustainable development goal (SDG7) target progress indicators show that developing countries are off track. Ethiopia’s low performance to the SDG7 has endangered its economic, societal, and environmental ...

• Co-designing the integration of voice-based conversational AI and web augmentation to amplify web inclusivity 

  Pucci, Emanuele; Piro, Ludovica; Possaghi, Isabella; Mulfari, Davide; Matera, Maristella (Peer reviewed; Journal article, 2024)

  The Web has become an essential resource but is not yet accessible to everyone. Assistive technologies and innovative, intelligent frameworks, for example, those using conversational AI, help overcome some exclusions. ...

• Metadata augmented deep neural networks for wild animal classification 

  Tøn, Aslak; Ahmed, Ammar; Imran, Ali Shariq; Ullah, Mohib; Azad, R. Muhammad Atif (Peer reviewed; Journal article, 2024)

  Camera trap imagery has become an invaluable asset in contemporary wildlife surveillance, enabling researchers to observe and investigate the behaviors of wild animals. While existing methods rely solely on image data for ...

• Information based explanation methods for deep learning agents—with applications on large open-source chess models 

  Hammersborg, Patrik; Strumke, Inga (Peer reviewed; Journal article, 2024)

  With large chess-playing neural network models like AlphaZero contesting the state of the art within the world of computerised chess, two challenges present themselves: the question of how to explain the domain knowledge ...

• Teaching urban sensing skills - experiences from a summer school 

  Håtveit, Åse; Mora, Simone; Venverloo, Titus; Duarte, Fábio; Divitini, Monica (Peer reviewed; Journal article, 2024)

• A Novel Improved Grey Wolf Algorithm Based Global Maximum Power Point Tracker Method Considering Partial Shading 

  Gundogdu, Hasan; Demirci, Alpaslan; Tercan, Said Mirza; Cali, Umit (Journal article; Peer reviewed, 2024)

  Considering photovoltaic systems’ sustainability and environmental friendliness, they have been widely used due to ease of installation as their cost reduces and their efficiency is improved. Analytical maximum power point ...

• Congestion forecast framework based on probabilistic power flow and machine learning for smart distribution grids 

  Hernandez-Matheus, Alejandro; Berg, Kjersti; Gadelha, Vinicius; Aragüés-Peñalba, Mònica; Bullich-Massagué, Eduard; Galceran-Arellano, Samuel (Peer reviewed; Journal article, 2024)

• AI-Assisted Agile Project Management - On the feasibility of adopting Generative AI for backlog refinement - An exploratory case study 

  Oftebro, Kasper Lien (Master thesis, 2025)

  Effektiv håndtering av backloger er avgjørende for å sikre at utviklingsteam holder seg i tråd med skiftende krav og forventninger fra interessenter. Men etter hvert som produktbacklogger vokser i omfang og kompleksitet, ...

• An Evaluation of Scalable Data Partitioning Algorithms 

  Lindstad, Marit (Master thesis, 2025)

  Mange datasystemer vokser i både etterspørsel og størrelse og medfører økt behov for effektive partisjoneringsmetoder som sikrer skalerbarhet, feiltoleranse og lastbalanse. Oppgaven evaluerer "consistent hashing"-metoder ...

• Multidomain Cyber-Physical Testbed for Power System Vulnerability Assessment 

  Mishchenko, Denys; Oleinikova, Irina; Erdodi, Laszlo Tibor; Pokhrel, Basanta Raj (Journal article; Peer reviewed, 2024)

  The rapid digitalization of power systems involves enhanced interconnectivity, intelligence, and cost-efficiency across all components. In the era of Industry 5.0, the criticality of energy supply makes power systems prime ...

• Residential demand response and dynamic electricity contracts with hourly prices: A study of Norwegian households during the 2021/22 energy crisis 

  Hofmann, Matthias; Lindberg, Karen Byskov (Peer reviewed; Journal article, 2024)

• Patents and Public Health: State Responsibility to Opt for a Balanced Approach 

  Butt, Saima; Shaukat, Kamran; Alam, Talha Mahboob; Jan, Tony (Peer reviewed; Journal article, 2024)

  The topic of public health is indispensable to talk about. It is essential to discuss new inventions, new and improved treatments, and their efficiencies with different combinations, but one thing that is important to ...

• Performance comparison of three prototype biomass stoves with traditional and Mirt stoves for baking Injera 

  Tesfay, Asfafaw Haileselassie; Tsegay, Kibreab; Kahsay, Mulu Bayray; Hailu, Mesele Hayelom; Adaramola, Muyiwa S. (Journal article; Peer reviewed, 2024)

  Background Injera is food consumed daily by Ethiopians like bread and rice in other parts of the world. Biomass stoves are used to bake Injera in most rural households. The unsustainable use of fuelwood causes deforestation. ...

• Stereo Camera-based Free Space Estimation for Docking in Urban Waters 

  Nygård, Trym Anthonsen; Dalhaug, Nicholas; Mester, Rudolf; Brekke, Edmund Førland; Stahl, Annette (Peer reviewed; Journal article, 2024)

  Operating in urban waters with an autonomous vessel can be challenging. The autonomous vessel must be able to react quickly and detect obstacles to avoid collisions and risky maneuvers. Exteroceptive sensors such as LiDAR ...

• A Novel Method for the Enhancement of Sunflower Growth from Animal Bones and Chicken Feathers 

  Laila, Ume; ul Huda, Mishkat; Shakoor, Isha; Nazir, Aisha; Shafiq, Muhammad; e Bareen, Firdaus; Shaukat, Kamran; Alam, Talha Mahboob (Peer reviewed; Journal article, 2024)

  The present study aimed at converting meat industry waste, particularly waste bones and chicken feathers, into biochar to recycle valuable nutrients present in it, which ultimately become part of the municipal waste. The ...

• Advancing Emotional Health Assessments: A Hybrid Deep Learning Approach Using Physiological Signals for Robust Emotion Recognition 

  Awan, Amna Waheed; Taj, Imran; Khalid, Shehzad; Usman, Syed Muhammad; Imran, Ali Shariq; Akram, Muhammad Usman (Peer reviewed; Journal article, 2024)

  Emotional health significantly impacts physical and psychological well-being, with emotional imbalances and cognitive disorders leading to various health issues. Timely diagnosis of mental illnesses is crucial for preventing ...

• Sustainability in IT education A game-based approach 

  Gangstø, Benedicte Helen; Divitini, Monica (Journal article; Peer reviewed, 2024)

  nformation Technology (IT) has a critical role in supporting sustainable development. However, there are also various ways in which IT contributes negatively to it. Despite the ever-growing need for IT professionals qualified ...

• A hybrid approach of vision transformers and CNNs for detection of ulcerative colitis 

  Shah, Syed Abdullah; Taj, Imran; Usman, Syed Muhammad; Hassan Shah, Syed Nehal; Imran, Ali Shariq; Khalid, Shehzad (Peer reviewed; Journal article, 2024)

Vis flere