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Automated Segmentation of Metastatic Lymph Nodes in Lymphoma Patients
(Master thesis, 2022)Ved å bruke det kunstige nevrale nettverket 2D U-Net, tester denne masteroppgaven nøyaktigheten til 2D U-Net med formålet om å automatisk segmentere ondartede svultser i PET/MR-bilder av pasienter med metastatisk lymfom. For ... -
Automated segmentation of tumors in dynamic contrast-enhanced MRI of high-risk breast cancer patients undergoing neoadjuvant therapy
(Master thesis, 2021)Brystkreft er den vanligste kreft blant kvinner, med nesten 3700 nye tilfeller diagnostisert årlig i Norge. Innenfor denne gruppen diagnostiseres mellom 5 og 10% på stadium III med lokalavansert brystkreft. Presurgical ... -
Automated Self-Optimising Synthesis Platform for Nanocrystals
(Master thesis, 2021)Nanocrystals are semiconductor nanoparticles with proven potential to enhance many applications including bioimaging and optoelectronics. Traditional colloidal synthesis methods typically do not provide the necessary control ... -
Automated Self-Test of an Analog Delta-Sigma Modulator
(Master thesis, 2007)This project investigates the feasibility of automating the test of ΔΣ-modulators using circuitcomponents available on 8-bit microcontrollers, and by doing so reducing test costs.A Built-In-Self-Test (BIST) scheme, using ... -
Automated short-term production planning process for hydro and windpower
(Doctoral theses at NTNU;2021:361, Doctoral thesis, 2021) -
Automated slice-specific z-shimming for functional magnetic resonance imaging of the human spinal cord
(Peer reviewed; Journal article, 2022)Functional magnetic resonance imaging (fMRI) of the human spinal cord faces many challenges, such as signal loss due to local magnetic field inhomogeneities. This issue can be addressed with slice-specific z-shimming, which ... -
Automated Smart light System using Pro-Active Learning
(Master thesis, 2021)Smart kunstig liv bidrar mye i det daglige ved å forutsi og kontrollere lysstyrken på enheter ved hjelp av trent modell. Det endelige målet med disse lysene er å gi komfort til sluttbrukeren. Imidlertid er det visse scenarier ... -
Automated Techniques for estimating Customer Value and Causal Models of Customer Satisfaction
(Master thesis, 2009)In the competitive business environment of today, knowing which customers to target,and how, is essential for maximizing the return of the invested resources.In order to accomplish this we need a way of estimating who will ... -
Automated Testing in Journalism
(Master thesis, 2019)Digitale aviser er et voksende feonomen de siste tyve årene. Mediekonsern har skiftet fokus fra papiraviser til å ha moderne nettsider som presenterer nyheter. Å samle og behandle trafikkdata på hvilke artikler som har ... -
Automated Tool Trajectory Generation for Robotized Deburring of Cast Parts Based on 3D Scans
(Peer reviewed; Journal article, 2023)Manual removal of burrs on castings introduces health, safety, and environmental concerns. Automated removal of highly variable casting burrs could improve safety, but requires a solution based on robots, smart sensors, ... -
Automated triage of samples for malware analysis
(Master thesis, 2017)As people continue to rely increasingly on information systems, the threat landscape will keep evolving. To combat and defeat new threats we need good cyber threat intelligence. Analysis of malicious software is a popular ... -
Automated Triaging and Remediation of User Incident Reports with Supervised Machine Learning and Threat Intelligence
(Master thesis, 2020)Ondsinnet epost er et stadig økende problem for organisasjoner, og til tross for at det eksisterer flere verktøy for å forhindre angrep, blir epostene stadig mer sofistikerte. Med alle de ondsinnede epostene som klarer å ... -
Automated tuning of MapReduce performance in Vespa Document Store
(Master thesis, 2007)MapReduce is a programming model for distributed processing, originally designed by Google Inc. It is designed to simplify the implementation and deployment of distributed programs. Vespa Document Store (VDS) is a distributed ... -
Automated Uterine Fibroids Detection in Ultrasound Images Using Deep Convolutional Neural Networks
(Peer reviewed; Journal article, 2023)Fibroids of the uterus are a common benign tumor affecting women of childbearing age. Uterine fibroids (UF) can be effectively treated with earlier identification and diagnosis. Its automated diagnosis from medical images ... -
Automated verification flow using Jenkins build server
(Master thesis, 2016)This assignment is a continuation of the project of fall 2015, where a linked approach for automation of coverage extraction information was implemented using questa Sim. Therefore the current Master Thesis project focuses ... -
Automated verification of design adherence in software implementation
(Master thesis, 2007)Software design and architecture specify how a system should be implemented to achieve the required quality attributes. Being able to automatically verify the design adherence during implementation will continuously assure ... -
Automated Video Segmentation in Underwater Ship Inspections Exploiting Deep Learning, Computer Vision, and Image Enhancement
(Master thesis, 2022)Inspeksjon av skipsskrog er en avgjørende del av å administrere og opprettholde standarden på aldrende skip. Undervannsinspeksjoner av skip, utført av dykkere eller fjernstyrte undervannsdroner (ROVs), kan være et godt ... -
Automated well log depth matching: Late fusion multimodal deep learning
(Peer reviewed; Journal article, 2022)Petrophysical interpretation and optimal correlation extraction of different measurements require accurate well log depth matching. We have developed a supervised multimodal machine learning alternative for the task of ... -
Automated Well-Log Depth Matching – 1D Convolutional Neural Networks Vs. Classic Cross Correlation
(Peer reviewed; Journal article, 2022)During drilling and logging, depth alignment of well logs acquired in the same borehole section at different times is a vital preprocessing step before any petrophysical analysis. Depth alignment requires high precision ... -
Automatic Accompaniment Generation Using Generative Adversarial Networks
(Master thesis, 2020)Denne masteroppgaven presenterer forskning på bruken av generative adversarial networks bestående av recurrent neural networks til å generere akkompagnement for melodier, Gjennom en rekke eksperimenter ble arkitekturens ...