Browsing NTNU Open by Title
Now showing items 34261-34280 of 61884
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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.H. Bjørk og medarbeidere svarer
(Peer reviewed; Journal article, 2020) -
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 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, ... -
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 Based Heuristic Technique for Multi-response Machining Process
(Peer reviewed; Journal article, 2020)Manufacturing process variables influence the quality of products substantially. It is unquestionably difficult to model the manufacturing processes that include a large number of variables and responses. Development of ... -
Machine Learning Based Prediction of Nanoscale Ice Adhesion on Rough Surfaces
(Peer reviewed; Journal article, 2021)It is widely recognized that surface roughness plays an important role in ice adhesion strength, although the correlation between the two is far from understood. In this paper, two approaches, molecular dynamics (MD) ... -
Machine Learning for Automatic Classification of Wind Turbines
(Master thesis, 2019)Ettersom vindparker vokser eksponentielt, er det nødvendig med økende grad av automatisk klassifisering av vindturbiner. Klyngeteknikker for å behandle datastrømmer i sanntid for alle de enkelte vindturbinene i drift er ... -
Machine Learning for Gesture Recognition with Electromyography
(Master thesis, 2017)About 70 million deaf people use sign language as their first language or mother tongue, but the lack of a common language between the deaf and hearing individuals makes the general communication difficult. This thesis ... -
Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions
(Peer reviewed; Journal article, 2020)This paper investigates and discusses the current and future role of machine learning (ML) within the hydropower sector. An overview of the main applications of ML in the field of hydropower operations is presented to show ... -
Machine Learning for Smart Building Applications: Review and Taxonomy
(Journal article; Peer reviewed, 2019)The use of machine learning (ML) in smart building applications is reviewed in this article. We split existing solutions into two main classes: occupant-centric versus energy/devices-centric. The first class groups solutions ...