Browsing NTNU Open by Title
Now showing items 8013-8032 of 100652
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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 ... -
Automatic adaptation of information in electronic patient records for patients
(Master thesis, 2006)In this work we present results of research, design and implementation of prototype system aimed at the task of automatically identifying and explaining difficult medical words in Electronic Patient Records. A patient ... -
Automatic Analysis and Presentation of Learning Resources
(Master thesis, 2016)This master thesis investigates how to make examples of student assignments searchable online, and hence better accessible. Dokker.no provides a platform where students can document their work, given a provided assignment. ... -
Automatic analysis in echocardiography using machine learning
(Doctoral theses at NTNU, 2021:230, Doctoral thesis, 2021)Echocardiography is the cornerstone of modern cardiac imaging due to its availability, low cost and real-time functionality. The modality has enabled sophisticated non-invasive evaluation of the hearts morphophysiology, ... -
Automatic Analysis of Scam Emails
(Master thesis, 2017)Email and email security have been the main topics of this master thesis. The thesis considers how an organization works with email security and security culture, the email specifications, threat agents, vulnerabilities ... -
Automatic and practical route planning for ships
(Master thesis, 2019)Hvis et skip skal seile fra en lokasjon til en annen, er en rute vanligvis laget av en erfaren navigatør, selv om automatiske ruteplanleggere allerede eksisterer. Årsaken til at mange automatiske ruteplanleggere er ... -
Automatic annotation of lecture videos for multimedia driven pedagogical platforms
(Peer reviewed; Journal article, 2016)Today’s eLearning websites are heavily loaded with multimedia contents, which are often unstructured, unedited, unsynchronized, and lack inter-links among different multimedia components. Hyperlinking different media ... -
Automatic annotation of structures in echocardiography using deep learning
(Master thesis, 2021)I dag utføres ultralydundersøkelse av hjertet vanligvis av en lege som har tilegnet seg spesialisering i tolkning av ultralydbilder. Som et resultat kan det være utfordrende for ikke-eksperter å bruke ekkokardiografi. Å ... -
Automatic assessment of left ventricular function for hemodynamic monitoring using artificial intelligence and transesophageal echocardiography
(Peer reviewed; Journal article, 2024)We have developed a method to automatically assess LV function by measuring mitral annular plane systolic excursion (MAPSE) using artificial intelligence and transesophageal echocardiography (autoMAPSE). Our aim was to ... -
Automatic Blood Glucose Control in Diabetes
(Master thesis, 2009)In this thesis, a closed-loop control algorithm for regulating the blood glucose concentration in type 1 diabetic patients is developed. Two control criteria are imposed on the system, namely: -Avoidance of hypoglycemia. ... -
Automatic building outline extraction from ALS point cloud data using generative adversarial network
(Peer reviewed; Journal article, 2022)The generation of building footprints from laser scanning point clouds or remote sensing images involves three steps: segmentation, outline extraction and boundary regularization/generalization. Currently, existing approaches ... -
Automatic Calibration of Ship-mounted Cameras’ Extrinsic Parameters
(Master thesis, 2023)Kalibrering er et sentralt tema innenfor autonome systemer som følge av at antakelsen om kalibrerte sensorer alltid er tilstede når sensordata brukes til å utvikle en modell av verden rundt det autonome systemet. Til tross ... -
Automatic Classification of Bank Transactions
(Master thesis, 2017)This thesis describes implementations of several classification models to be used in a Norwegian bank transaction classification system. Our goal is to investigate which supervised machine learning methods are best suited ... -
Automatic Classification of Pro-Eating Disorder Twitter Accounts with Personality as a Feature
(Master thesis, 2019)En person eller en gruppe som anser spiseforstyrrelser som en livsstil, i stedet for en dødelig psykisk lidelse, omtales som å være pro-spiseforstyrrelse eller pro-ED (fra det engelske ordet pro-Eating Disorder). ...