• Haptic Rendering of Arthroscopic Meniscus Examination in SOFA 

  Bjelland, Øystein; Rasheed, Bismi; Dalen, Andreas Fagerhaug (Journal article; Peer reviewed, 2024)

  Learning to distinguish between healthy and degenerative meniscus tissue is an important skill for orthopedic surgeons, as it could impact further treatment. Virtual simulations with kinesthetic haptic feedback offers a ...

• Development and Validation of a Passive Musculoskeletal Ankle Joint Model Capable of Simulating Fibular Injuries with a Focus on Deltoid Ligament 

  Shayestehpour, Mohammad Amin (Master thesis, 2024)

  Virtuelle simuleringsmodeller har potensial til å forbedre helsevesenet ved å legge til rette for sikker evaluering av nye medisinske intervensjoner, spesielt ikke-kirurgiske behandlinger for fibulafrakturer, slik som de ...

• Digital Twin for Fault Detection in Photovoltaic (PV) Systems 

  Mardomi, Nasrin (Master thesis, 2024)

  Sammendrag: Denne forskningen fokuserer på utviklingen av en prediktiv digital tvilling for solcelle (PV) systemer for å forbedre energieffektiviteten og redusere vedlikeholdskostnadene ved å forutsi tap på grunn av ...

• Knowledge-informed Analysis for the Barrier Effect Evaluation in European Cycling Network. 

  Cazaux, Julien (Master thesis, 2024)

  Denne avhandlingen undersøker hvordan stor transportinfrastruktur påvirker sykkelperspektivet, med særlig fokus på barriereeffekten i sykkelveinettet i Europa. Tidligere studier har primært tatt for seg barriereeffekten ...

• Advancing Building Energy Efficiency with Physics-Informed Neural Networks for Time Series Forecasting 

  Mohimanianpour, Seyedamin (Master thesis, 2024)

  Rask urbanisering og befolkningsvekst har drevet bygninger til å forbruke en betydelig del av verdens energi, med forventninger om ytterligere økninger i fremtiden. Regjeringer har svart ved å implementere tiltak som å øke ...

• Deep Reinforcement Learning for Interpretable Autonomous Navigation of Surface Vessels 

  Shen, Xiangming (Master thesis, 2024)

  The emerge of artificial intelligence (AI) in past years had gained great attentions in academic research and successful applications in industries. Deep reinforcement learning (DRL), as an ultimate approach of AI, in which ...

• QoS aware resource allocation for coexistence mechanisms between eMBB and URLLC: Issues, challenges, and future directions in 5G 

  Kumar, Rajesh; Sinwar, Deepak; Singh, Vijander (Peer reviewed; Journal article, 2023)

  5G NR enables three types of use case scenarios viz. enhance mobile broadband (eMBB), ultra-reliable low latency communication (URLLC), and massive machine type communication (mMTC). The eMBB is suitable for applications ...

• Artificial intelligence: A new model for online proctoring in education 

  Kaushik, Ruchi; Singh, Vijander; Kumari, Rajni (Chapter, 2023)

  As a result of technological advancements, society is becoming increasingly computerized. Massive open online courses and other forms of remote instruction continue to grow in popularity and reach. COVID-19’s global impact ...

• A review of emerging technologies for rapid prototyping 

  Gupta, Ashish; Singh, Vijander (Chapter, 2023)

  This paper reviews the prototyping of objects. Rapid prototyping is becoming increasingly important in mechanical and industrial design engineering. This study looks at how commercial CAD programming products can be used ...

• Regression by Re-Ranking 

  Gonçalves, Filipe Marcel Fernandes; Pedronette, Daniel Carlos Guimarães; Da Silva Torres, Ricardo (Journal article; Peer reviewed, 2023)

  Several approaches based on regression have been developed in the past few years with the goal of improving prediction results, including the use of ranking strategies. Re-ranking has been exploited and successfully employed ...

• Explainable Artificial Intelligence for Autonomous Surface Vessels by Fuzzy-Based Collision Avoidance System 

  Singh, Vijander; Osen, Ottar Laurits; Bye, Robin Trulssen (Chapter, 2023)

• Digital Twins For Topology Density Map Analysis 

  Hu, Zhicheng; Hasan, Agus Ismail; Da Silva Torres, Ricardo (Chapter, 2023)

  Properly analyzing spatiotemporal patterns is of paramount importance, especially in urban planning. In this paper, we introduce two digital twins to support the analysis of spatiotemporal data associated with urban ...

• Interpersonal coordination of opposing player dyads during attacks performed in official football matches 

  Caetano, Fabio Giuliano; Santiago, Paulo Roberto Pereira; Da Silva Torres, Ricardo; Cunha, Sergio Augusto; Moura, Felipe Arruda (Journal article; Peer reviewed, 2023)

  The purpose of this study was to characterise the interpersonal coordination between opponent players during offensive sequences in official matches and to verify if offensive sequences ended in shots to goal present ...

• BERT- and TF-IDF-based feature extraction for long-lived bug prediction in FLOSS: A comparative study 

  Gomes, Luiz; Da Silva Torres, Ricardo; Côrtes, Mario Lúcio (Journal article; Peer reviewed, 2023)

  Context: The correct prediction of long-lived bugs could help maintenance teams to build their plan and to fix more bugs that often adversely affect software quality and disturb the user experience across versions in ...

• VIRTUALLY HOSTED HACKATHONS FOR DESIGN RESEARCH: LESSONS LEARNED FROM THE INTERNATIONAL DESIGN ENGINEERING ANNUAL (IDEA) CHALLENGE 2022 

  Ege, Daniel Nygård; Goudswaard, Mark; Nesheim, Ole Skråmestø; Eikevåg, Sindre Wold; Bjelland, Øystein; Christensen, Kim Alexander; Ballantyne, Robert; Su, Shuo; Cox, Chris; Timperley, Louis; Aeddula, Omsri; Machchhar, Raj Jiten; Ruvald, Ryan; Li, Jie; Figueiredo, Sara; Deo, Saurabh; Horvat, Nikola; Čeh, Ivan; Šklebar, Jelena; Miler, Daniel; Gopsill, James; Hicks, Ben; Steinert, Martin (Peer reviewed; Journal article, 2023)

• "Please Be Nice": Robot Responses to User Bullying - Measuring Performance Across Aggression Levels 

  Luo, Yiming; Liu, Shihao; Wu, Di; Wang, Hao; Pan, Yushan (Chapter, 2024)

• Toward Cleaner Oceans: Developing an ROV-Based Solution for Subsea Fishing Trash Collection 

  Hammer, William; Kleppe, Sigbjørn Nystøyl; Thavarajan, Anjayan (Bachelor thesis, 2024)

  Forskning viser at den største andelen søppel langs Norges kyst oppst˚ar fra marint forsøpling. Den mest kosteffektive metoden ˚a samle tapt fiskeutstyr per dags dato, er ved sleping av dregg langs havbunnen. Denne metoden ...

• Om å kartleggja mørk materie med maskinlæring 

  Schaathun, Hans Georg; Normann, Ben David; Solevåg-Hoti, Kenny (Peer reviewed; Journal article, 2023)

• Biomechanical Identification and Simulation of Passive Ankle Joints in AnyBody 

  Kleppe, Adam Leon; Shayestehpour, Mohammadamin; Bjelland, Øystein (Peer reviewed; Journal article, 2024)

• Simulation of gravitational lensing in the roulette formalism 

  Schaathun, Hans Georg; Normann, Ben David; Austnes, Einar Leite; Ingebrigtsen, Simon; Remøy, Sondre Westbø; Runde, Simon Nedreberg (Peer reviewed; Journal article, 2023)

View more