Blar i NTNU Open på tittel
Viser treff 7961-7980 av 100661
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Automated lazy metalearning in introspective reasoning systems
(Doctoral theses at NTNU;2020:193, Doctoral thesis, 2020)Machine learning systems are becoming increasingly widespread and important, and these days machine learning is used in some form in most industries. However, the application of machine learning technology still has a ... -
Automated Lithology Classification Employing Whole Core CT-Scans
(Doctoral theses at NTNU;2021:316, Doctoral thesis, 2021)This thesis evaluates the application of artificial intelligence to detect rock properties from whole core computed tomography (CT) scan images of wells on the Norwegian continental shelf. Whole core CT-scan images provide ... -
Automated Log Data Analytics Workflow – The Value of Data Access and Management to Reduced Turnaround Time for Log Analysis
(Peer reviewed; Journal article, 2022)The oil and gas industry of today is undergoing rapid digitalization. This implies a massive effort to transform standard work procedures and workflows into more efficient practices and implementations using machine learning ... -
Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets
(Peer reviewed; Journal article, 2021)COVID-19 outbreak brings intense pressure on healthcare systems, with an urgent demand for effective diagnostic, prognostic and therapeutic procedures. Here, we employed Automated Machine Learning (AutoML) to analyze three ... -
Automated Malware Analysis Platform
(Bachelor thesis, 2019)Alle bedrifter trenger en måte å sikre virksomheten deres, og i dagens digitale tidsalder er dette spesielt fokusert mot å beskytte digitale systemer mot skadelige og ondsinnede entiteter. Denne beskyttelsen blir i dag ... -
Automated Mapping and Change Detection of Rivers and Inland Water Bodies by Semantic Segmentation of SAR Imagery using Deep Learing
(Master thesis, 2022)Målet med denne oppgaven er å detektere utstrekninger av vannforekomster og elver i Norge ved semantisk segmentering av Syntetisk Apertur-Radar (SAR) satellittbilder. To dype nevrale nettverksarkitekturer er implementert ... -
Automated Mapping and Change Detection of Rivers and Inland Water Bodies by Semantic Segmentation of SAR Imagery using Deep Learning
(Master thesis, 2022)Målet med denne oppgaven er å detektere utstrekninger av vannforekomster og elver i Norge ved semantisk segmentering av Syntetisk Apertur-Radar (SAR) satellittbilder. To dype nevrale nettverksarkitekturer er implementert ... -
Automated measurement of upper thermal limits in small aquatic animals
(Journal article; Peer reviewed, 2018)We present a method for automating the measurement of upper thermal limits in small aquatic organisms. Upper thermal limits are frequently defined by the cessation of movement at high temperature, with measurement being ... -
Automated Metal Cleanliness Analyzer (AMCA) – An Alternative Assessment of Metal Cleanliness in Aluminum Melts
(Peer reviewed; Journal article, 2021)The established industry standards for assessing the cleanliness of aluminum melts are PoDFA (Porous Disc Filtration Apparatus) and LiMCA (Liquid Metal Cleanliness Analyzer) analyses. PoDFA provides the necessary qualitative ... -
Automated Methodologies for Decision Support in Field Development
(Doctoral theses at NTNU;2022:182, Doctoral thesis, 2022)This thesis deals with automated methodologies for decision support of offshore field development planning. The thesis is in two parts: methodology development and application to a real-world field case. In the first ... -
Automated methodology for optimal selection of minimum electrode subsets for accurate EEG source estimation based on Genetic Algorithm optimization
(Peer reviewed; Journal article, 2022)High-density Electroencephalography (HD-EEG) has proven to be the EEG montage that estimates the neural activity inside the brain with highest accuracy. Multiple studies have reported the effect of electrode number on ... -
Automated Mineralogy and Diagnostic Leaching Studies on Bulk Sulfide Flotation Concentrate of a Refractory Gold Ore
(Peer reviewed; Journal article, 2023)Obtaining detailed and precise information from a classified refractory gold ore has been a long-standing challenge in mineral processing and process mineralogy. Although the concept of diagnostic leaching has been extensively ... -
AUTOMATED MITIGATION OF CHEATING THREATS FOR REMOTE EXAMS
(Master thesis, 2017)Distance education often relies on remote testing to evaluate the performance of students. In many cases, these evaluations are unproctored and leave the evaluation prone to exploitation for those willing to cheat. With ... -
Automated Modal Parameters Identification During Ice-Structure Interactions
(Chapter, 2022)Offshore structures are prone to damage caused by ice-induced vibrations. It is presently unknown to what extent different ice conditions change the properties of the structure, such as natural frequency, damping ratio, ... -
Automated Operational Modal Analysis of a Helicopter Blade with a Density-Based Cluster Algorithm
(Peer reviewed; Journal article, 2022)Automated operational modal analysis (AOMA) is a common standard for unsupervised, data-driven, and output-only system identification, utilizing ambient vibrations as an environmental input source. However, conventional ... -
Automated Optimization and Design of Mooring Systems for Deep Water
(Master thesis, 2016)This master thesis focuses on automated optimization of mooring systems at deep water. The optimization work is based on the mooring system of the deep draft semisubmersible DEMO2000 developed by Statoil. This is a ... -
Automated optimization-based generation and quantitative evaluation of Strut-and-Tie models
(Peer reviewed; Journal article, 2020)Strut-and-Tie modelling (STM) is a well-known approach to design D-regions in reinforced concrete structures. Because the STM method is based on lower-bound analysis, finding a suitable truss-analogy model is the most ... -
Automated Patient-level Prostate Cancer Detection with Quantitative Diffusion Magnetic Resonance Imaging
(Peer reviewed; Journal article, 2023)Background Multiparametric magnetic resonance imaging (mpMRI) improves detection of clinically significant prostate cancer (csPCa), but the subjective Prostate Imaging Reporting and Data System (PI-RADS) system and ... -
AUTOMATED PATTERN RECOGNITION IN REAL-TIME DRILLING DATA FOR EARLY KARST DETECTION
(Chapter, 2021)Drilling in carbonate formations often poses a real challenge to operators, contractors and service companies. Severe fluid losses, gas kicks and other unwanted situations increase drilling risks. These risks are closely ... -
Automated Planning and Control for a Simulated Robot
(Master thesis, 2018)The early work in robotics and Artificial Intelligence showed great promise, but because of the challenges and difficulties met in the early phases, the two fields drifted apart. Artificial Intelligence focused more on ...