Browsing NTNU Open by Title
Now showing items 6297-6316 of 100788
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Applying end-to-end imitation learning for real-time perception and control of autonomous vehicles: from simulation to real world environments
(Master thesis, 2020)Autonomous vehicles are no longer a thing of the future. The technology is here and getting better every day. The current systems are however typically bound to specific controlled geographical areas, limiting their ... -
Applying Enterprise Architecture for Digital Transformation of Electro Mobility towards Sustainable Transportation
(Chapter, 2020)Electro Mobility (eMobility) involves deploying Information and Communication Technologies (ICT) and electric technologies in vehicles to enable electric propulsion of vehicles referred to as Electric Vehicles (EVs). EVs ... -
Applying Enterprise Architecture for Digital Transformation of Electro Mobility towards Sustainable Transportation
(Chapter, 2020)Electro Mobility (eMobility) involves deploying Information and Communication Technologies (ICT) and electric technologies in vehicles to enable electric propulsion of vehicles referred to as Electric Vehicles (EVs). EVs ... -
Applying GARCH-EVT-Copula Forecasting in Active Portfolio Management
(Master thesis, 2021)Denne masteroppgaven benytter out-of-sample backesting for å prestasjonsevaluere ulike kortsiktige porteføljeoptimeringsstrategier som bygger på 20 forskjellige GARCH-EVT-Copula simulerings-modeller. Vi løser tre ulike ... -
Applying generative adversarial networks for anomaly detection in hyperspectral remote sensing imagery
(Master thesis, 2018)Automatic anomaly detection has previously been implemented on hyperspectral images by use of different statistical methods with good results. We apply a machine learning method using generative adversarial networks (GAN) ... -
Applying genetic engineering tools in zebrafish to study the neuromodulatory role of the choroid plexus
(Master thesis, 2022)Choroid plexus er et organ som produserer mesteparten av cerebrospinalvæsken (CSV) i kroppen. Denne væsken omslutter hjernen og demper mekaniske slag samtidig som den bidrar til naturlig sirkulering av næring og avfallstoffer. ... -
Applying Geographic Information Retrieval — An Experience Report on Developing Local Search for a Developing Country
(Journal article; Peer reviewed, 2014)This article reports on the efforts to establish a research project on a geospatial search engine for the Latin American country of Honduras during the author’s research stay at a local university. Honduras is an interesting ... -
Applying hybrid methods to reduce nonphysical cycles in the flux field
(Master thesis, 2012)In this thesis we present the theoretical background for the two-point flux-approximation method; (TPFA), mimetic discretisation methods, and the multipoint flux approximation method; (MPFA). Theoretical arguments concerning ... -
Applying hybrid support vector regression and genetic algorithm to water alternating CO2 gas EOR
(Peer reviewed; Journal article, 2020)Water alternating CO2 gas injection (WAG CO2) is one of the most promising enhanced oil recovery techniques. The optimization of this process requires performing many time‐consuming simulations. In this paper, an intelligent ... -
Applying hyperparameter optimization and other model adaption methods to tune existing models for microbial pathogens in drinking water supplies
(Master thesis, 2018)The collection and analysis of data on the concentration of pathogenic organisms in raw water sources is critical for the optimization of disinfection processes in water treatment plants. Nevertheless, there are no robust ... -
Applying IEEE 1278.1-2012 Concepts to Support Integration of Digital Twins in Industrial Applications
(Chapter, 2022)Digital twins serve as a source of new insights about industrial processes and systems performance and enable the use of cutting-edge technologies for their optimization. Solution vendors offer a variety of tools for digital ... -
Applying improved median linkage heuristic for cell formation problem considering binary data
(Journal article, 2011)Abstract: The crucial problem in cellular manufacturing system (CMS) is to identify the machine cells and corresponding part families to form the production cells. This article portrays a novel approach based on median ... -
Applying K-means with Triangle Inequality on Apache Flink, with Applications in Intrusion Detection
(Master thesis, 2020)K-means er en av de mest brukte kluster-algoritmene, men den fungerer på en relativt naiv måte og majoriteten av distansekalkulasjonene den utfører er unødvendige. Tidligere forskning har bevist at ved å utnytte triangelaksiomet ... -
Applying Language Technology in ErrorDetection for Optical Music Recognition
(Master thesis, 2020)Etter fremveksten av teknikker som benytter dyp læring har Optical Music Recognition-løsninger som forsøker å lese og forstå noter sett store fremskritt. Teknikker som benytter dyp læring er ofte vanskelig å validere, noe ... -
Applying Learning Analytics in the course TDT4100 at NTNU
(Master thesis, 2015)In the Object Oriented Programming course TD4100 at NTNU there is a need to get an improved overview of the learning challenges of the students. A better understanding of how the students work, and how they handle the ... -
Applying Machine Learning to Detect Fraud in Telecommunication Networks
(Master thesis, 2019)Svindel i telekommunikasjonsnettverk er et økende problem på verdensbasis, og en betydelig inntektsstrøm for dem som utfører det. Av den grunn oppstår det stadig nye svindelmetoder som har teleselskaper og deres abonnementer ... -
Applying Machine Learning to Detect Fraud in Telecommunication Networks
(Master thesis, 2019)Svindel i telekommunikasjonsnettverk er et økende problem på verdensbasis, og en betydelig inntektsstrøm for dem som utfører det. Av den grunn oppstår det stadig nye svindelmetoder som har teleselskaper og deres abonnementer ... -
Applying Machine Learning to Factor Investing in the Corporate Bond Market
(Master thesis, 2023)Ved å anvende teknikker fra maskinlæring, utforsker vi effektiviteten av faktorinvestering i markedet for selskapsobligasjoner. Vår analyse tar for seg syv sentrale faktorer: Størrelse, Verdi, Kvalitet, Momentum, ESG, Rente ... -
Applying Machine Learning Using Custom Trained Convolutional Neural Networks on Subsea Object Detection and Classification
(Master thesis, 2019)Med bakgrunn i aldrende utstyr på norsk kontinentalsokkel er behovet for inspeksjoner, vedlikehold og reparasjoner forventet å øke betydelig de kommende årene. Fjernstyrte undervannsfarkoster (ROV) spiller en vesentlig ... -
Applying material flow analysis for optimizing construction aggregates management in the road sector
(Master thesis, 2018)The construction of infrastructure presents large issues of environmental impacts, land-use conflicts, and resource scarcity. Good resource management streamlining the material use and waste production is essential to ...