• Economic and Environmental Potential of Machine Learning in Demand Forecasting 

  Knudsen, Morten (Bachelor thesis, 2025)

  Demand forecasting precision is essential for suppliers of perishable items to be able to meet customer demand and avoid over-stocking goods that will in- evitably spoil. Accurately predicting demand enables optimal ...

• Extended overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance 

  Alkhalifa, Rabab; Borkakoty, Hsuvas; Deveaud, Romain; El-Ebshihy, Alaa; Espinosa-Anke, Luis; Fink, Tobias; Galuscakova, Petra; Gonzalez-Saez, Gabriela; Goeuriot, Lorraine; Iommi, David; Liakata, Maria; Tayyar Madabushi, Harish; Medina-Alias, Pablo; Mulhem, Philippe; Piroi, Florina; Popel, Martin; Zubiaga, Arkaitz (Conference object, 2024)

  We describe the second edition of the LongEval CLEF 2024 shared task. This lab evaluates the temporal persistence of Information Retrieval (IR) systems and Text Classifiers. Task 1 requires IR systems to run on corpora ...

• Extending an existing Byzantine Fault Tolerant software framework to support pipelining 

  Rostem, Alan Shakhewan (Master thesis, 2024)

  This master's thesis examines the integration of a pipelining technique into a Byzantine Fault Tolerant (BFT) research framework to enhance throughput in distributed systems under high-latency conditions. The research is ...

• Antispin for en firhjulsdreven elektrisk racerbil 

  Skaget, Runar Wallenius (Master thesis, 2024)

  Formula student er verdens største konkurranse for ingeniørstudenter. Lag designer og bygger en bil, som så deltar i forskjellige oppgaver. Firhjuls drevene biler med motorer montert i hjulnav ses på som en stor milepæl i ...

• Grønn Kommunikasjon for Webapplikasjoner 

  Mikalsen, Anders (Bachelor thesis, 2024)

  Det generelle økende fokuset i samfunnet på en grønn energiomstilling be- lyser endringer som kreves i flere ulike bransjer. Internett står for en stadig økende del av verdens energibruk. De senere årene har det blitt en ...

• Forecasting Bitcoin Prices by Integrating Sentiment Analysis into Machine Learning 

  Mellum, Jan Kristian De La O (Bachelor thesis, 2024)

  This study investigates the use of machine learning models to predict Bit- coin prices, specifically with the use of integrated sentiment analysis in LSTM models. The analysis utilizes historical Bitcoin price data and the ...

• Robust visual explainability through uncertainty quantification for deep learning-based detection of Alzheimer's disease from MRI 

  Jøssang, Kjell Reidar (Bachelor thesis, 2024)

  This thesis explores the application of conformal prediction (CP) to enhance the robustness and explainability of Gradient-weighted Class Activation Mapping (Grad-CAM) saliency maps in deep learning-based detection of ...

• Deep learning for Alzheimer’s disease: a fairness perspective 

  Elkafarna, Ayoop Ali Deeb (Master thesis, 2024)

  Alzheimer’s Disease (AD) is a progressive disease, and detecting the disease in early stages enables the patients to begin the treatments for the symptoms to slow down the progression as soon as possible. Neuroimaging data ...

• Distinguishing glioblastoma progression from treatment-related changes using DTI directionality growth analysis 

  van den Elshout, R.; Ariëns, B.; Esmaeili, Morteza; Akkurt, B.; Mannil, M.; Meijer, F.J.A.; van der Kolk, der; Scheenen, T.W.J.; Henssen, D. (Peer reviewed; Journal article, 2024)

  Background It is difficult to distinguish between tumor progression (TP) and treatment-related abnormalities (TRA) in treated glioblastoma patients via conventional MRI, but this distinction is crucial for treatment ...

• Rakettgjenanskaffelse med fallskjermsystem og sensorovervåkning 

  Ingebrigtsen Ottesen, Sigurd; Underdal, John Olav; Aguilera, Daniel F A (Bachelor thesis, 2024)

• Visualisering og databehandling av rakettmotor 

  Uludag, Hilal; Gederø, Eivind; Ghebremedhin, Robel Weldemichael (Bachelor thesis, 2024)

• Autonom Dokking 

  Delgado, Karina-Tamara Moscoso. Jotun, Anne Isabel Rivero (Bachelor thesis, 2024)

• Data-Driven Tube-based Model Predictive Control for a Two-Tank System 

  Dyvik, Mathias (Master thesis, 2024)

• Experimental Evaluation of Congestion Control Mechanisms over Satellite-based Starlink Internet Broadband Service 

  Hansen, Minde; Kvamme, Erlend Waldeland (Bachelor thesis, 2024)

• Design og utvidelse av smartbriller med treghets-, fysiologiske, lyd- og vibrasjonsevner 

  Wangberg, Kjetil (Bachelor thesis, 2024)

• Radiokommunikasjon for rakett 

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

• Vektorstyring og måling av skyvekraft fra rakettmotor 

  Stokka,Martin; Ueland Langerak,Jon Andre (Bachelor thesis, 2024)

• Utvikling av Programvare for CANFD-kommunikasjon i ROV 

  Tor Øverland Blikra (Bachelor thesis, 2024)

• Controllability-driven Optimization of ROV-design and Advanced Control Strategies 

  Choat, Tomas Royal; Ljosdal, Otto Nessa (Master thesis, 2024)

  Remotely Operated Vehicles (ROVs) are integral to underwater exploration, maintenance, and research, with applications ranging from the oil and gas industry to offshore wind farm installations, fish farm inspections, and ...

• Comprehensive Review of Explainable AI Techniques and Their Applications 

  Herland, Marie Elisabeth; Vevle, Victor Munthe (Bachelor thesis, 2024)

  The field of Explainable Artificial Intelligence (XAI) represents a specialised area of study within the broader domain of artificial intelligence. XAI is primarily concerned with the explanation of complex AI models, ...

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