Browsing NTNU Open by Title
Now showing items 40413-40432 of 72867
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m - f - neuter: kjønnsparadokser på nett
(Chapter; Peer reviewed, 2002) -
M&A i energibransjen - En casestudie av norske energiselskap
(Master thesis, 2018)Stortinget vedtok våren 2016 endring i energiloven (jf. vedlegg 6) som berører samtlige energiselskaper i Norge som driver nettvirksomhet. Endringene i energiloven, som trer i kraft 1. januar 2021, medfører selskapsmessig ... -
M-TPACK og covid-19
(Master thesis, 2021)Teknologi og digitale ferdigheter har fått et økende fokus i skolen den siste tiden. Dette ser vi blant annet ved at digitale ferdigheter har blitt inkludert som en grunnleggende ferdighet i den nye læreplanen som ble ... -
M.H. Bjørk og medarbeidere svarer
(Peer reviewed; Journal article, 2020) -
M365 Compliance and Security
(Bachelor thesis, 2021)I denne oppgaven designer og implementerer vi et IT-system for en liten bedrift: Trondheim Knekk og Brekk AS. Prosjektet har sterkt fokus på Microsofts systemer for å sikre samsvar og sikkerhet, og prøver å implementere ... -
Maasai Women’s Involvement in an Income-Generating Ecotourism Venture: En Route towards Empowerment and Changing Gender Roles and Relations
(Master thesis, 2010)This study investigated Maasai women’s involvement in an income-generating ecotourism venture, which is conducted by a foreign eco-tour operator. The venture is located in Talek, on the northern boundary of Kenya’s famous ... -
MAC layer security services in IEEE 802.15.4
(Master thesis, 2018)The Institute of Electrical and Electronics Engineers (IEEE) 802.15.4 standard describes the Medium Access Control (MAC) sub-layer and Physical layer of the Open Systems Interconnection (OSI) model of low-rate wireless ... -
MacDonald White Paper - En empirisk analyse av det britiske mandatet i Palestina, 1936-1939
(Master thesis, 2019) -
Machine Learning Aided Static Malware Analysis: A Survey and Tutorial
(Chapter, 2018)Malware analysis and detection techniques have been evolving during the last decade as a reflection to development of different malware techniques to evade network-based and host-based security protections. The fast growth ... -
Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury
(Peer reviewed; Journal article, 2020)Objective We aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury. Study Design and Setting We performed logistic regression ... -
Machine Learning and Atomic Simulations to predict Nanoscale Ice Adhesion
(Master thesis, 2020)Det er kjent at overflateruhet påvirker hvor godt is fester seg til materialer, men de underliggende mekanismene er ikke fullstendig forstått. I denne masteroppgaven blir to tilnærminger, én fysikkbasert, og én svart ... -
Machine learning and CFD for mapping and optimization of CO2 ejectors
(Peer reviewed; Journal article, 2021)In this study, a novel simulation-based algorithm for CO2 ejector design and performance evaluation is presented. The algorithm is based on an automated Computational Fluid Dynamics (CFD) workflow that can account for ... -
Machine Learning and First Principles Modeling Applied to Multiphase Flow Estimation
(Doctoral theses at NTNU;2020:407, Doctoral thesis, 2020)Accurate knowledge of multiphase flowrates produced by each well in an oil and gas production system is important for performing production optimization, flow assurance and reservoir management. Among the alternatives, ... -
Machine Learning and Image Processing for the Study of Fluid Particle Breakage in Turbulent Flow
(Master thesis, 2020)Hovedformålet med denne oppgaven er å lage maskinlæringsmodeller for bruk i en allerede eksisterende bildeanalysekode for å kunne spore oljedråper i en turbulent strøm av vann. I tillegg, har prosjektet som mål å beskrive ... -
A Machine Learning Approach for Determining Reference Wells in the Norwegian Continental Shelf
(Master thesis, 2018)An unsupervised learning solution for selecting relevant reference wells for a new well that is to be drilled in the Norwegian Continental Shelf (NCS), shall be made with readily available software tools such as Python and ... -
A Machine Learning Approach to Investigate Fronto-Parietal Neural Ensemble Dynamics During Complex
(Chapter, 2020)Brain circuits exhibit very complex dynamics, where individual neurons fire action potentials determining coordinated activity patterns. During behavior, a multitude of brain areas are engaged in planning and execution. A ... -
Machine learning assisted low-frequency model building for AVO inversion
(Master thesis, 2018)AVO inversion is a valuable tool to estimate absolute reservoir properties from prestack seismic data. The bandwidth limitation of the seismic requires that the missing low frequencies must be added to the inversion in ... -
Machine learning augmented reduced-order models for FFR-prediction
(Peer reviewed; Journal article, 2021)Computational predictions in cardiovascular medicine have largely relied on explicit models derived from physical and physiological principles. Recently, the application of artificial intelligence in cardiovascular medicine ...