Blar i NTNU Open på tittel
Viser treff 56278-56297 av 100943
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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) -
M.o.T. Mobilmelker og Torsk
(Bachelor thesis, 2023)Dagens situasjon på ODE sitt gjennomstrømninganlegg for torsk på Stadsbygd gjennomføres røkting av fiskekar ved et hevertsystem. På grunn av lave strømningshastigheter i karene fører dette til oppsamling av partikler på ... -
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) -
Machinability of Low-Lead and Lead-Free Brass Alloys
(Doctoral thesis, 2024) -
Machine checked proofs for MLWE based encryption using EasyCrypt
(Master thesis, 2023)Med den truende faren til kvantedatamaskiner trenger vi offentlig nøkkel-kryptografi som ikke avhenger av diskret logaritme-problemet og andre problemer som kan løses effektivt på kvantedatamaskiner. En fremgangsmåte er å ... -
Machine Learning (ML) diffusion in the design process: A study of Norwegian design consultancies
(Peer reviewed; Journal article, 2023) -
Machine Learning (ML)-Based Prediction and Compensation of Springback for Tube Bending
(Chapter, 2021)Bent tubes are extensively used in the manufacturing industry to meet demands for lightweight and high performance. As one of the most significant behaviors affecting the dimensional accuracy in tube bending, springback ... -
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 algorithm for prediction of stuck pipe incidents using statistical data: case study in middle east oil fields
(Peer reviewed; Journal article, 2022)One of the most troublesome issues in the drilling industry is stuck drill pipes. Drilling activities will be costly and time-consuming due to stuck pipe issues. As a result, predicting a stuck pipe can be more useful. ... -
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 ... -
A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism
(Peer reviewed; Journal article, 2022)In this paper, we address the problems of fraud and anomalies in the Bitcoin network. These are common problems in e-banking and online transactions. However, as the financial sector evolves, so do the methods for fraud ... -
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 Cross-Sectional Returns: An empirical analysis of machine learning for return prediction in the Norwegian equities market
(Master thesis, 2023)Denne masteroppgaven bruker maskinløring for å predikere fremtidig aksjeavkastning for aksjer som er en del av Oslo Stock Exchange All Share Index (OSEAX). Maskinglæringsalgoritmer som Random Forest og Gradient Boosted ...